{"id":"W4250194478","doi":"10.1080/01621459.2016.1240080","title":"Comment","year":2016,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03598563,0.0008135441,0.001619872,0.001725437,0.003762703,0.005283907,0.005546402,0.04406441,0.03460726],"category_scores_gemma":[0.2874542,0.001158312,0.002839766,0.002688776,0.006479162,0.004430676,0.002978416,0.04221438,0.02657546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005041067,"about_ca_system_score_gemma":0.009407575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975215,"about_ca_topic_score_gemma":0.01481277,"domain_scores_codex":[0.9710065,0.006579783,0.003290627,0.00601275,0.01060762,0.002502694],"domain_scores_gemma":[0.7778257,0.1442147,0.01196645,0.01363043,0.0445993,0.007763423],"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":[0.00005063057,0.000008566655,0.0009034272,0.00006953649,0.0000264395,0.0001050673,0.0001425813,0.00003768282,0.00005644468,0.004609465,0.9909376,0.003052526],"study_design_scores_gemma":[0.0001551716,0.00003483623,0.00508059,0.0007175307,0.00007291573,0.0004061192,0.0004569826,0.0002364848,0.0003270862,0.01007388,0.9823318,0.0001066887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003748499,0.0005279696,0.0003079613,0.9546807,0.03806145,0.00002839418,0.0004562416,0.00008348611,0.00547894],"genre_scores_gemma":[0.001593307,0.0001609512,0.0002012708,0.978748,0.01569066,0.00005825216,0.0000701414,0.00003579552,0.003441572],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04406441,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815889986196997,"score_gpt":0.4345783331963923,"score_spread":0.3764194333344223,"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."}}