{"id":"W3043363813","doi":"10.1097/jcp.0000000000001266","title":"Statistics Commentary Series. Commentary No. 42: Minimization","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Psychopharmacology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Library science; Psychiatry; Psychology; Computer science","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005383118,0.0003025035,0.001887852,0.00007724961,0.00008640607,0.00002959343,0.0007296938,0.0003524128,0.004072483],"category_scores_gemma":[0.0714189,0.0002568088,0.0004776285,0.0002530987,0.0004801837,0.0001982656,0.0001648161,0.001696172,0.0001310006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004926388,"about_ca_system_score_gemma":0.000113933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000016827,"about_ca_topic_score_gemma":9.833184e-7,"domain_scores_codex":[0.9894373,0.003585618,0.005607238,0.0003760195,0.0006053967,0.0003884239],"domain_scores_gemma":[0.9335072,0.06179994,0.002808264,0.000261939,0.0007569584,0.0008656974],"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":[0.008400567,0.001005495,0.001699804,0.0001232356,0.0005668442,0.0002818907,0.00006991893,0.000009099081,0.0001647228,0.001202203,0.9715781,0.01489808],"study_design_scores_gemma":[0.02770308,0.008166583,0.001504691,0.0001116491,0.001454648,0.0000937618,0.0001178065,0.001333299,0.0002249075,0.452442,0.5062644,0.0005832312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03267124,0.0002424184,0.4767904,0.4416846,0.04345756,0.00155167,0.001039044,0.0001563367,0.002406724],"genre_scores_gemma":[0.003573291,0.0008218594,0.8091028,0.1780696,0.008303876,0.000006298596,0.000007207226,0.00005813602,0.00005692207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4653138,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5103370026933072,"score_gpt":0.6218493604379933,"score_spread":0.1115123577446862,"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."}}