prompt_id stringclasses 252
values | model stringclasses 52
values | answer stringclasses 217
values | score stringlengths 0 18 ⌀ | score_sd stringlengths 0 19 ⌀ | n_judges stringclasses 11
values | cost stringlengths 0 22 ⌀ | judges_json stringlengths 2 249 ⌀ |
|---|---|---|---|---|---|---|---|
q-corpus-1/q100_1/1 | Muse-glimmer-30b | Error answering - Failed to respond | 1.8 | 0.42163702135578396 | 10 | 0.00218066 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemini-3.7-flash": 1, "Gpt-oss-120b": 2, "Grok-4.3": 2, "Hy3": 2, "Minimax-m3": 2, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 1, "Nemotron-3.5-lightning": 2} |
q-corpus-1/q100_1/1 | Grok-4.3 | Error answering - Failed to respond | 3.822222222222222 | 0.856997342145496 | 9 | 0.00838935 | {"Deepseek-v4-flash-0731": 4, "GLM-5.2": 4.8, "Gemini-3.7-flash": 4.8, "Gpt-oss-120b": 4.2, "Grok-4.3": 4, "Hy3": 3.6, "Muse-glimmer-30b": 3.2, "Nemotron-3-ultra-550b-a55b": 3.8, "Nemotron-3.5-lightning": 2, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Qwen3.5-9b | Error answering - Failed to respond | 1.34 | 0.5081557066709201 | 10 | 0.0002625 | {"Deepseek-v4-flash-0731": 1, "GLM-5.2": 2.2, "Gemini-3.7-flash": 1, "Gemma-4-31b-it": 1.2, "Gpt-oss-120b": 2, "Hy3": 1, "Muse-glimmer-30b": 1, "Nemotron-3-ultra-550b-a55b": 1, "Nemotron-3.5-lightning": 2, "Qwen3.5-9b": 1} |
q-corpus-1/q100_1/1 | Claude-sonnet-5 | Error answering - Failed to respond | 4.34 | 1.0458383134011575 | 10 | 0.219224 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 2, "Grok-4.3": 5, "Hy3": 4.6, "Minimax-m3": 5, "Muse-glimmer-30b": 3, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4} |
q-corpus-1/q100_1/1 | GLM-5.3 | Error answering - Failed to respond | 3.6800000000000006 | 1.3070747662029303 | 10 | 0.009636 | {"Deepseek-v4-flash-0731": 3.8, "GLM-5.2": 2, "Gemini-3.7-flash": 4.8, "Gpt-oss-120b": 3, "Grok-4.3": 5, "Hy3": 4.6, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/1 | GLM-5.2 | Error answering - Failed to respond | 3.64 | 1.2103259432437565 | 10 | 0.00486486 | {"Deepseek-v4-flash-0731": 4.2, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 3.4, "Grok-4.3": 4.6, "Hy3": 2, "Minimax-m3": 4.2, "Muse-glimmer-30b": 2, "Nemotron-3.5-lightning": 4.2, "Qwen3.5-9b": 2} |
q-corpus-1/q100_1/1 | Hy3 | Error answering - Failed to respond | 3.4399999999999995 | 1.1805836597961947 | 10 | 0.003068208 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.6, "Gpt-5.6-luna": 3.2, "Gpt-oss-120b": 4, "Hy3": 4.8, "Muse-glimmer-30b": 3, "Nemotron-3.5-lightning": 3.8, "Qwen3.5-9b": 2} |
q-corpus-1/q100_1/1 | Gemini-3.7-flash | Error answering - Failed to respond | 4.22 | 0.9818350166906862 | 10 | 0.0182505 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 2, "Gpt-oss-120b": 4.4, "Grok-4.3": 3, "Minimax-m3": 4.6, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 4, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/1 | Nemotron-3-ultra-550b-a55b | Error answering - Failed to respond | 2.82 | 0.8189424074174367 | 10 | 0.0148086 | {"Deepseek-v4-flash-0731": 2, "Gemini-3.7-flash": 2, "Gpt-5.6-luna": 3.2, "Grok-4.3": 3.6, "Hy3": 3, "Minimax-m3": 2, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 4.4, "Nemotron-3.5-lightning": 3, "Qwen3.5-9b": 3} |
q-corpus-1/q100_1/1 | Qwen3.8-max | Error answering - Failed to respond | 4.16 | 1.1654279137819816 | 10 | 0.030646 | {"Deepseek-v4-flash-0731": 2, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 2, "Gpt-oss-120b": 4.6, "Grok-4.3": 4.4, "Hy3": 4.8, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 5} |
q-corpus-1/q100_1/1 | Nemotron-3.5-lightning | Error answering - Failed to respond | 2.64 | 0.9131143289740763 | 10 | 0.00695648 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 3.6, "Gemma-4-31b-it": 2.2, "Gpt-5.6-luna": 2.4, "Gpt-oss-120b": 4, "Grok-4.3": 2, "Minimax-m3": 2.0, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": 4.2} |
q-corpus-1/q100_1/1 | Muse-spark-1.2 | Error answering - Failed to respond | 3.3111111111111104 | 1.0867893591267404 | 9 | 0.01011925 | {"Gemini-3.7-flash": 4.4, "Gemma-4-31b-it": 3.4, "Gpt-5.6-luna": 3.4, "Gpt-oss-120b": 4.8, "Grok-4.3": 4.2, "Hy3": 2, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": 3.6, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Grok-4.6 | Error answering - Failed to respond | 4.333333333333334 | 0.9380831519646858 | 9 | 0.07565 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 2, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Hy3": 4.4, "Minimax-m3": 4.2, "Muse-glimmer-30b": 4.2, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Gpt-5.6-luna | Error answering - Failed to respond | 4.779999999999999 | 0.304776785350999 | 10 | 0.015338 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.6, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": 5, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/1 | Gpt-5.6-sol | Error answering - Failed to respond | 4.8 | 0.32071349029490914 | 8 | 0.715363 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Kimi-k2.6 | Error answering - Failed to respond | 2.8799999999999994 | 0.9761602782785668 | 10 | 0.08495205812 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 4.8, "Gemini-3.7-flash": 3, "Gemma-4-31b-it": 2.8, "Gpt-5.6-luna": 3, "Gpt-oss-120b": 4.2, "Hy3": 2, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": 2, "Qwen3.5-9b": 3} |
q-corpus-1/q100_1/1 | Gemma-4-31b-it | Error answering - Failed to respond | 3.15 | 0.892828570971414 | 8 | 0.00048958 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemma-4-31b-it": 3.4, "Gpt-5.6-luna": 2.6, "Gpt-oss-120b": 4.2, "Grok-4.3": 4, "Hy3": 3, "Nemotron-3-ultra-550b-a55b": 4, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Deepseek-v4-flash-0731 | Error answering - Failed to respond | 3.2888888888888883 | 0.9803627446568495 | 9 | 0.00095858 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemma-4-31b-it": 3.8, "Gpt-5.6-luna": 3.6, "Gpt-oss-120b": 4, "Grok-4.3": 2, "Hy3": 4.2, "Minimax-m3": 4.0, "Nemotron-3.5-lightning": 4, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Gpt-oss-120b | Error answering - Failed to respond | 2.2888888888888888 | 1.1185307823708344 | 9 | 0.0005981 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemma-4-31b-it": 3, "Gpt-5.6-luna": 1, "Gpt-oss-120b": 2, "Grok-4.3": 3, "Hy3": 2, "Minimax-m3": 4.6, "Nemotron-3-ultra-550b-a55b": 1, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/1 | Minimax-m3 | Error answering - Failed to respond | 0 | 0.0 | {} | ||
q-corpus-1/q100_1/2 | Gemma-4-31b-it | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.819999999999999 | 0.11352924243950945 | 10 | 0.00028792 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.8, "Grok-4.3": 4.8, "Hy3": 4.8, "Minimax-m3": 4.8, "Nemotron-3-ultra-550b-a55b": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | GLM-5.3 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.88 | 0.13984117975602034 | 10 | 0.0050818 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 5, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Hy3": 4.6, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Muse-glimmer-30b | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.688888888888889 | 0.17638342073763935 | 9 | 0.00142172 | {"Deepseek-v4-flash-0731": 4.6, "Gemini-3.7-flash": 4.8, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.8, "Hy3": 4.6, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 4.6, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Gpt-5.6-sol | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.859999999999999 | 0.13498971154211067 | 10 | 0.0559955 | {"GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.8, "Grok-4.3": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.6, "Nemotron-3-ultra-550b-a55b": 4.8, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Claude-sonnet-5 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.8 | 0.23094010767585016 | 10 | 0.03395 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.4, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Gpt-5.6-luna | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.92 | 0.1932183566158591 | 10 | 0.0029974 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Muse-spark-1.2 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.8999999999999995 | 0.19436506316150995 | 10 | 0.013889 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Hy3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5.0} |
q-corpus-1/q100_1/2 | Gpt-oss-120b | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.92 | 0.10327955589886455 | 10 | 0.000264337 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 5, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 5, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Hy3 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.819999999999999 | 0.17511900715418255 | 10 | 0.001284624 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 4.8, "Hy3": 4.8, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Gemini-3.7-flash | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.8999999999999995 | 0.19436506316150995 | 10 | 0.0087495 | {"Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Hy3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Minimax-m3 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.88 | 0.21499353995462794 | 10 | 0.002504688 | {"Deepseek-v4-flash-0731": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Nemotron-3.5-lightning | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 3.66 | 1.4938392000331078 | 10 | 0.00165888 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 1, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 3.6, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Hy3": 2, "Minimax-m3": 3.6, "Muse-glimmer-30b": 2, "Nemotron-3-ultra-550b-a55b": 5} |
q-corpus-1/q100_1/2 | GLM-5.2 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.777777777777778 | 0.23333333333333317 | 9 | 0.0079126125 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.8, "Grok-4.3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Grok-4.6 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.688888888888889 | 0.22607766610417557 | 9 | 0.019258 | {"GLM-5.2": 4.6, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.6, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.8, "Hy3": 4.6, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/2 | Deepseek-v4-flash-0731 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.819999999999999 | 0.17511900715418255 | 10 | 0.00073626 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-oss-120b": 4.8, "Grok-4.3": 4.8, "Hy3": 4.8, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.8, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 4.4} |
q-corpus-1/q100_1/2 | Grok-4.3 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.71111111111111 | 0.26666666666666655 | 9 | 0.0085456 | {"Deepseek-v4-flash-0731": 4.8, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.8, "Grok-4.3": 5, "Hy3": 4.6, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Qwen3.8-max | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.911111111111111 | 0.1452966314513559 | 9 | 0.01888 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 4.8, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 5, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 5, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Kimi-k2.6 | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.879999999999999 | 0.1932183566158591 | 10 | 0.05816703098 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.8, "Grok-4.3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5} |
q-corpus-1/q100_1/2 | Qwen3.5-9b | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.779999999999999 | 0.23944379994757292 | 10 | 0.0018798 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 4.8, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/2 | Nemotron-3-ultra-550b-a55b | 1. Cardiac output by the Fick method: 4.72 L/min
2. Cardiac output by thermodilution: 2.29 L/min
3. The Fick method computes pulmonary blood flow (forward flow) from oxygen consumption and the arteriovenous oxygen content difference. In tricuspid regurgitation, the mixed venous sample from the pulmonary artery repr... | 4.679999999999999 | 0.21499353995462783 | 10 | 0.0272712 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.8, "Grok-4.3": 4.8, "Hy3": 4.8, "Minimax-m3": 4.4, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 4.6, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/3 | Muse-spark-1.2 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.8 | 0.26457513110645897 | 9 | 0.0103925 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.6, "Grok-4.3": 5, "Hy3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.4} |
q-corpus-1/q100_1/3 | Muse-glimmer-30b | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.866666666666667 | 0.19999999999999993 | 9 | 0.00111782 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 4.8, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Nemotron-3-ultra-550b-a55b | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.66 | 0.6397916327472041 | 10 | 0.0033516 | {"Deepseek-v4-flash-0731": 4.6, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 3, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Nemotron-3.5-lightning": 4.2} |
q-corpus-1/q100_1/3 | Gemma-4-31b-it | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.71111111111111 | 0.26666666666666655 | 9 | 0.00021684 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Hy3": 4.6, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.8} |
q-corpus-1/q100_1/3 | Claude-sonnet-5 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.78 | 0.2898275349237886 | 10 | 0.035142 | {"GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6} |
q-corpus-1/q100_1/3 | Qwen3.8-max | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.62 | 0.6562519841239848 | 10 | 0.009972 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 3, "Gpt-oss-120b": 5, "Grok-4.3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.2} |
q-corpus-1/q100_1/3 | Grok-4.6 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.84 | 0.2458545188611435 | 10 | 0.011364 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.4, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 5} |
q-corpus-1/q100_1/3 | GLM-5.3 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.88 | 0.2529822128134702 | 10 | 0.0066696 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.4, "Hy3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Gpt-5.6-sol | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.8999999999999995 | 0.19436506316150998 | 10 | 0.1283315 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 5, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Nemotron-3.5-lightning": 4.8} |
q-corpus-1/q100_1/3 | Grok-4.3 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.88 | 0.21499353995462794 | 10 | 0.0028256 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.4, "Nemotron-3-ultra-550b-a55b": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | GLM-5.2 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.7555555555555555 | 0.29627314724385284 | 9 | 0.00458718 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.4} |
q-corpus-1/q100_1/3 | Hy3 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.779999999999999 | 0.2573367875415838 | 10 | 0.001313664 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6} |
q-corpus-1/q100_1/3 | Gemini-3.7-flash | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.688888888888889 | 0.36209268304000714 | 9 | 0.005365875 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 4.4, "Hy3": 5, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Deepseek-v4-flash-0731 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.859999999999999 | 0.23190036174568116 | 10 | 0.00017094 | {"Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.6, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Minimax-m3 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.76 | 0.36270588023294503 | 10 | 0.0030345 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Hy3": 4.4, "Muse-glimmer-30b": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Nemotron-3.5-lightning | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.64 | 0.3627058802329451 | 10 | 0.00066116 | {"Deepseek-v4-flash-0731": 4.2, "GLM-5.2": 4.8, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4, "Gpt-oss-120b": 4.4, "Hy3": 5, "Minimax-m3": 4.8, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/3 | Gpt-5.6-luna | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.76 | 0.35023801430836515 | 10 | 0.0063154 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.2, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/3 | Kimi-k2.6 | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.52 | 0.543241300999023 | 10 | 0.01006133051 | {"Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 3.4, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Hy3": 4.4, "Minimax-m3": 3.8, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/3 | Qwen3.5-9b | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.56 | 0.38643671323171824 | 10 | 0.0008011 | {"Deepseek-v4-flash-0731": 4.2, "Gemini-3.7-flash": 4.8, "Gpt-5.6-luna": 3.8, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Hy3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/3 | Gpt-oss-120b | **How the 1965‑1980 CPI‑inflation/unemployment experience was used to justify the natural‑rate hypothesis and the monetarist critique of the Phillips curve, and how that shaped the move to rules‑based policy in the early 1980s**
---
### 1. The empirical pattern (1965‑1980)
| Year | CPI YoY (inflation) | Unemployment... | 4.688888888888889 | 0.3480102169636849 | 9 | 0.000356821 | {"Deepseek-v4-flash-0731": 4, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 5, "Grok-4.3": 5, "Hy3": 4.4, "Minimax-m3": 4.8, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 4.4} |
q-corpus-1/q100_1/4 | Hy3 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.766666666666667 | 0.3082207001484487 | 9 | 0.001681812 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Grok-4.3": 5, "Hy3": 5, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | Muse-glimmer-30b | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.709999999999999 | 0.2998147576235847 | 10 | 0.00120652 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.2, "Hy3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.3, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/4 | Gemini-3.7-flash | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.789999999999999 | 0.26853512081497105 | 10 | 0.015094875 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.3, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | Nemotron-3.5-lightning | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.609999999999999 | 0.4012480529547775 | 10 | 0.00272936 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gpt-5.6-luna": 4.2, "Gpt-oss-120b": 4, "Grok-4.3": 4.8, "Hy3": 5, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.2} |
q-corpus-1/q100_1/4 | Gpt-oss-120b | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.409999999999999 | 0.6045200116161948 | 10 | 0.000186826 | {"Deepseek-v4-flash-0731": 4.5, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4, "Grok-4.3": 5, "Hy3": 3, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": 4.6, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/4 | Grok-4.6 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.588888888888889 | 0.3822448313726572 | 9 | 0.027454 | {"GLM-5.2": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 4.6, "Grok-4.3": 4.8, "Minimax-m3": 4.3, "Muse-glimmer-30b": 3.8, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/4 | Grok-4.3 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.644444444444444 | 0.4216370213557839 | 9 | 0.00689935 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Hy3": 5, "Minimax-m3": 4, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": null, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | Gemma-4-31b-it | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 3.019999999999999 | 1.1602681682362153 | 10 | 0.00017942 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemini-3.7-flash": 4.8, "Gemma-4-31b-it": 4.2, "Gpt-5.6-luna": 2, "Grok-4.3": 4, "Hy3": 2, "Minimax-m3": 4.2, "Muse-glimmer-30b": 3, "Qwen3.5-9b": 2} |
q-corpus-1/q100_1/4 | Claude-sonnet-5 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.7299999999999995 | 0.3713339317768965 | 10 | 0.048972 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4.2, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Hy3": 4.5, "Minimax-m3": 5, "Muse-glimmer-30b": 4, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/4 | GLM-5.3 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.67 | 0.28303906287138364 | 10 | 0.0037204 | {"GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 5, "Grok-4.3": 4.8, "Hy3": 4.8, "Minimax-m3": 4.2, "Muse-glimmer-30b": 4.3, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/4 | Nemotron-3-ultra-550b-a55b | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.488888888888889 | 0.9545214042184235 | 9 | 0.0144918 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.4, "Gpt-oss-120b": 2, "Grok-4.3": 4.8, "Minimax-m3": 4.8, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/4 | Minimax-m3 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.8999999999999995 | 0.14142135623730961 | 10 | 0.0079146 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.8, "Grok-4.3": 4.8, "Minimax-m3": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | Gpt-5.6-luna | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.659999999999999 | 0.6328067986711619 | 10 | 0.0048852 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 3, "Grok-4.3": 4.8, "Hy3": 5, "Minimax-m3": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/4 | Deepseek-v4-flash-0731 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.68 | 0.37653389990514513 | 10 | 0.00071421 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.6, "Gpt-5.6-luna": 4.3, "Gpt-oss-120b": 5, "Minimax-m3": 4, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | Kimi-k2.6 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 2.477777777777778 | 1.0437645541234115 | 9 | 0.02520656712 | {"Deepseek-v4-flash-0731": 3.8, "GLM-5.2": 2, "Gemini-3.7-flash": 2, "Gpt-oss-120b": 2, "Grok-4.3": 3.3, "Hy3": 2, "Minimax-m3": 4.2, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": null, "Qwen3.5-9b": 1} |
q-corpus-1/q100_1/4 | Qwen3.8-max | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.81 | 0.24244128727957587 | 10 | 0.029976 | {"Deepseek-v4-flash-0731": 4.6, "GLM-5.2": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Grok-4.3": 5, "Hy3": 4.8, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/4 | GLM-5.2 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.799999999999999 | 0.2357022603955159 | 10 | 0.003058575 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.8, "Minimax-m3": 4.5, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/4 | Muse-spark-1.2 | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.58 | 0.4756282395129858 | 10 | 0.01206325 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.4, "Hy3": 5, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 3.6, "Qwen3.5-9b": 4.6} |
q-corpus-1/q100_1/4 | Qwen3.5-9b | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 3.9999999999999996 | 0.8339997335464535 | 10 | 0.00181375 | {"Deepseek-v4-flash-0731": 4, "GLM-5.2": 4.5, "Gemini-3.7-flash": 3.5, "Gemma-4-31b-it": 4.6, "Gpt-5.6-luna": 2, "Gpt-oss-120b": 4.2, "Grok-4.3": 3.8, "Hy3": 3.8, "Nemotron-3-ultra-550b-a55b": 4.8, "Nemotron-3.5-lightning": 4.8} |
q-corpus-1/q100_1/4 | Gpt-5.6-sol | ```python
def check_access(item, today):
from datetime import date, datetime
def parse_date(value):
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def add_years(value, years):
... | 4.5 | 0.6363961030678927 | 9 | 0.136059 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.6, "Hy3": 5, "Muse-glimmer-30b": 4.3, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.2, "Qwen3.5-9b": 3} |
q-corpus-1/q100_1/5 | Nemotron-3.5-lightning | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 3.432844069621389 | 1.2038826077875422 | 10 | 0.00079076 | {"Deepseek-v4-flash-0731": 4.2, "GLM-5.2": 2, "Gemini-3.7-flash": 2, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 2, "Grok-4.3": 4.2, "Hy3": 4.2, "Minimax-m3": 3, "Muse-glimmer-30b": 3.8, "Nemotron-3-ultra-550b-a55b": 5} |
q-corpus-1/q100_1/5 | Qwen3.8-max | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.700025958293674 | 0.4447221354708778 | 9 | 0.032078 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 3.8, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Grok-4.3 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.6287432619058215 | 0.9191783770786217 | 10 | 0.00349185 | {"GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-oss-120b": 4.2, "Grok-4.3": 4.8, "Hy3": 4.2, "Minimax-m3": 2, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.2, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Claude-sonnet-5 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.8046454567759875 | 0.33166247903553997 | 9 | 0.151698 | {"Deepseek-v4-flash-0731": 5, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4, "Grok-4.3": 5, "Hy3": 5, "Minimax-m3": 5, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Gemma-4-31b-it | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 3.5975527766572544 | 1.2851286144022922 | 10 | 0.00025148 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemma-4-31b-it": 5, "Gpt-oss-120b": 4.2, "Grok-4.3": 4.6, "Minimax-m3": 4, "Muse-glimmer-30b": 3.8, "Nemotron-3-ultra-550b-a55b": 2, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Gemini-3.7-flash | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.379722518676627 | 0.9153020145163987 | 10 | 0.006978375 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 2, "Grok-4.3": 5, "Hy3": 4.6, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/5 | Hy3 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.604152312709568 | 0.3338091841585119 | 8 | 0.002523821652 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 4.8, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.2, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Minimax-m3": 4.2, "Nemotron-3-ultra-550b-a55b": null, "Nemotron-3.5-lightning": 4.2, "Qwen3.5-9b": null} |
q-corpus-1/q100_1/5 | Muse-spark-1.2 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.65229267524698 | 0.3047767853509988 | 10 | 0.0099545 | {"Deepseek-v4-flash-0731": 4.8, "GLM-5.2": 5, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.2, "Gpt-oss-120b": 4.6, "Grok-4.3": 4.8, "Minimax-m3": 4.4, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.4} |
q-corpus-1/q100_1/5 | Muse-glimmer-30b | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.618220697643339 | 0.38930136855083813 | 10 | 0.001432 | {"GLM-5.2": 5, "Gemma-4-31b-it": 4.8, "Gpt-oss-120b": 4.2, "Grok-4.3": 4.6, "Hy3": 4.2, "Minimax-m3": 4.4, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 4} |
q-corpus-1/q100_1/5 | Grok-4.6 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.599190657058677 | 0.4898979485566356 | 10 | 0.012232 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 3.6, "Grok-4.3": 5, "Hy3": 4.4, "Muse-glimmer-30b": 4, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.8, "Qwen3.5-9b": 4.4} |
q-corpus-1/q100_1/5 | Gpt-5.6-sol | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.7700560316413965 | 0.28362729848243523 | 10 | 0.4589255 | {"GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gpt-5.6-luna": 4.8, "Gpt-oss-120b": 4.4, "Hy3": 4.6, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Gpt-5.6-luna | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.332221071606643 | 0.8846845012017938 | 10 | 0.015895 | {"Deepseek-v4-flash-0731": 5, "Gemini-3.7-flash": 2, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 4.6, "Gpt-oss-120b": 4.6, "Grok-4.3": 5, "Hy3": 4.6, "Minimax-m3": 4.8, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/5 | GLM-5.3 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.715238285144567 | 0.3657564459825387 | 10 | 0.0052942 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4, "Grok-4.3": 5, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Nemotron-3-ultra-550b-a55b | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.237404368335513 | 0.8944271909999157 | 10 | 0.0040926 | {"Deepseek-v4-flash-0731": 4.8, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 2, "Gpt-oss-120b": 4.4, "Grok-4.3": 4.8, "Hy3": 4.8, "Minimax-m3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.2} |
q-corpus-1/q100_1/5 | Gpt-oss-120b | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 3.3558208730367967 | 1.449750936463839 | 10 | 0.000594347 | {"Deepseek-v4-flash-0731": 2, "Gemini-3.7-flash": 1, "Gemma-4-31b-it": 4.8, "Gpt-5.6-luna": 3.4, "Grok-4.3": 4.8, "Hy3": 2, "Minimax-m3": 4.6, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.6, "Qwen3.5-9b": 4} |
q-corpus-1/q100_1/5 | Kimi-k2.6 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.750295904369979 | 0.339934634239519 | 10 | 0.02141438301 | {"Deepseek-v4-flash-0731": 4.8, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4, "Gpt-oss-120b": 4.4, "Grok-4.3": 5, "Minimax-m3": 5, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 4.8} |
q-corpus-1/q100_1/5 | Minimax-m3 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.547369509043928 | 0.4157990967870046 | 10 | 0.0158346 | {"Deepseek-v4-flash-0731": 4.6, "Gemini-3.7-flash": 4.2, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 3.8, "Gpt-oss-120b": 4.8, "Grok-4.3": 5, "Hy3": 4.8, "Muse-glimmer-30b": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Nemotron-3.5-lightning": 4.4} |
q-corpus-1/q100_1/5 | Qwen3.5-9b | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 2.9967198671681747 | 1.6280868117722307 | 10 | 0.00185615 | {"Deepseek-v4-flash-0731": 2, "GLM-5.2": 2, "Gemini-3.7-flash": 1, "Gemma-4-31b-it": 4.6, "Gpt-5.6-luna": 1, "Gpt-oss-120b": 4.2, "Grok-4.3": 4.2, "Hy3": 4.2, "Nemotron-3-ultra-550b-a55b": 5, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | GLM-5.2 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.782032309301514 | 0.2988868236194652 | 10 | 0.03203292672 | {"Deepseek-v4-flash-0731": 4.6, "GLM-5.2": 5, "Gemini-3.7-flash": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.6, "Grok-4.3": 5, "Minimax-m3": 4.6, "Muse-glimmer-30b": 4.2, "Nemotron-3.5-lightning": 4.4, "Qwen3.5-9b": 5} |
q-corpus-1/q100_1/5 | Deepseek-v4-flash-0731 | The standard *that*-trace effect vs. **adverb rescue** is one of the central diagnostics distinguishing a structural/ECP account from a linear adjacency/PF account.
(1) \*Who do you think that ___ left?
(2) Who do you think ___ left?
(3) Who do you think that John saw ___?
(4) Who do you think that probably ___ ... | 4.758168931425218 | 0.3464101615137754 | 9 | 0.00154448 | {"Deepseek-v4-flash-0731": null, "GLM-5.2": 5, "Gemma-4-31b-it": 5, "Gpt-5.6-luna": 4.2, "Grok-4.3": 5, "Hy3": 4.8, "Minimax-m3": 5, "Muse-glimmer-30b": 4.2, "Nemotron-3.5-lightning": 5, "Qwen3.5-9b": 5} |
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