{"id":"W1969348424","doi":"10.1017/s0012217300004583","title":"Response to Narveson","year":2003,"lang":"en","type":"article","venue":"Dialogue","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750837,0.000050339,0.00008477034,0.00003821391,0.0000264253,0.000006915526,0.0000248396,0.00002085691,0.0002577011],"category_scores_gemma":[0.0001968569,0.0000422255,0.0000394431,0.00009338334,0.000008172044,0.00001982188,0.00001062561,0.00005349616,0.000329543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438796,"about_ca_system_score_gemma":0.00003304682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006870244,"about_ca_topic_score_gemma":0.00001372785,"domain_scores_codex":[0.9995732,0.00006118054,0.00006809753,0.00009656818,0.0000826925,0.0001182641],"domain_scores_gemma":[0.999634,0.00004931679,0.000007672114,0.000167587,0.00001444527,0.0001269433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01350953,0.001055334,0.06369822,0.00006211235,0.0001316246,0.002574318,0.003607522,0.00001563245,0.2890508,0.01646864,0.5908093,0.01901692],"study_design_scores_gemma":[0.0008010895,0.0004560776,0.02951648,0.00001629889,0.00001658053,0.00008366149,0.00006783596,0.00000148059,0.01010071,0.00008126727,0.9587816,0.00007691248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814041,0.00009729583,0.0001044748,0.008109694,0.0001777935,0.0001424822,0.000007494331,0.00002989465,0.009926813],"genre_scores_gemma":[0.9824591,0.000002658512,0.0006075913,0.01557915,0.00005612509,0.00001113556,0.00001328703,0.000008411344,0.00126257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3679723,"threshold_uncertainty_score":0.4235718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194842592528957,"score_gpt":0.2794595899775376,"score_spread":0.2599753307246419,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}