{"id":"W2607695489","doi":"10.1161/strokeaha.117.016728","title":"“Good Outcome” Isn’t Good Enough","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Outcome (game theory); Mathematical economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001416332,0.000120517,0.0002684041,0.00006815602,0.0002239793,0.00005175527,0.0001536384,0.00009629796,0.0007593609],"category_scores_gemma":[0.0004115753,0.0000944034,0.0002189028,0.00002203721,0.0001110287,0.0001109204,0.00005239862,0.0001842457,0.000504448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004994896,"about_ca_system_score_gemma":0.00006232594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004894699,"about_ca_topic_score_gemma":0.00001367586,"domain_scores_codex":[0.9990762,0.00001770023,0.0002196138,0.0002125773,0.0002404942,0.0002333961],"domain_scores_gemma":[0.9988866,0.0000746087,0.0001130057,0.0007205203,0.00006348066,0.0001418256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006602528,0.000140147,0.9756292,0.0000813341,0.00008745783,0.00002639459,0.0001617051,6.716226e-7,0.003250083,0.003168309,0.003316673,0.01407206],"study_design_scores_gemma":[0.001669811,0.0002629063,0.7882512,0.00003771107,0.00005693333,0.0000227807,0.0002142363,0.00001539658,0.001516607,0.000060998,0.2077812,0.000110221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351776,0.0001681413,0.00008658797,0.005762769,0.001218641,0.0002666736,0.00003446959,0.00007666006,0.3572085],"genre_scores_gemma":[0.8984129,0.00002605233,0.001442683,0.0004061028,0.0004135038,0.00001178055,0.000007276446,0.00001704229,0.09926268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2632353,"threshold_uncertainty_score":0.8314469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016859557505572,"score_gpt":0.3311388194185606,"score_spread":0.3009702238435049,"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."}}