{"id":"W2947269187","doi":"10.1097/jcp.0000000000001060","title":"Statistics Commentary Series","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Psychopharmacology","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Library science; Series (stratigraphy); Psychiatry; Family medicine; Medicine; Psychology; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01903809,0.001008043,0.001877556,0.003464204,0.001735378,0.003899137,0.003221731,0.009077142,0.1811558],"category_scores_gemma":[0.1730174,0.0010392,0.002027015,0.003554645,0.00182332,0.001910663,0.001710425,0.01287777,0.06940737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00526652,"about_ca_system_score_gemma":0.01492126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131516,"about_ca_topic_score_gemma":0.0168406,"domain_scores_codex":[0.9850756,0.005540857,0.001631186,0.001299853,0.005742273,0.0007102347],"domain_scores_gemma":[0.8669619,0.0694087,0.0039446,0.006046934,0.04794592,0.005692065],"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":[0.00002033421,0.000002516755,0.00001841707,0.00008237917,0.00000677927,0.000008876339,0.000004930505,0.00001310124,0.000006323255,0.0006034308,0.9953083,0.00392451],"study_design_scores_gemma":[0.00005288957,0.00001168493,0.0002378589,0.0005598642,0.0000121317,0.00003823622,0.00001352669,0.00005010006,0.00002613945,0.001887554,0.9970994,0.00001061698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001438453,0.01077467,0.002126967,0.6189631,0.3025915,0.0004822958,0.01415777,0.0005834853,0.0501763],"genre_scores_gemma":[0.004385474,0.0149572,0.003980077,0.5149759,0.2855366,0.002378146,0.0101918,0.00129412,0.1623006],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1811558,"threshold_uncertainty_score":0.6060265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2008300701578728,"score_gpt":0.5931890160924582,"score_spread":0.3923589459345854,"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."}}