{"id":"W2995961033","doi":"10.1097/jcp.0000000000001165","title":"Statistics Commentary Series. Commentary No. 37","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Psychopharmacology","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Library science; Series (stratigraphy); Psychiatry; Psychology; Gerontology; Medicine; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00206677,0.0001349553,0.0008334174,0.00004265138,0.00003979913,0.00000771382,0.0003034077,0.0001900647,0.01364347],"category_scores_gemma":[0.0004719119,0.00007632084,0.0002595895,0.000130279,0.0004300087,0.00009574813,0.00007087366,0.001037612,0.0004314964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002811637,"about_ca_system_score_gemma":0.00008795213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005724467,"about_ca_topic_score_gemma":0.000001315496,"domain_scores_codex":[0.9971853,0.0003354709,0.001560154,0.0002033385,0.000426433,0.0002893006],"domain_scores_gemma":[0.9970779,0.00126754,0.0006280978,0.000129602,0.0002555949,0.0006412975],"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":[0.004587196,0.0009559896,0.1662268,0.00003123799,0.0001598036,0.0001848408,0.000007481818,5.642951e-7,0.001799449,0.00002907807,0.8089617,0.0170559],"study_design_scores_gemma":[0.01095576,0.01034379,0.1118551,0.0000582936,0.0001723145,0.0002293841,0.00004660683,0.00007707902,0.00005913479,0.001509671,0.8645706,0.0001222643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8173137,0.0002475079,0.0001015582,0.1664845,0.01208469,0.0002806751,0.00002540742,0.0000129255,0.003449009],"genre_scores_gemma":[0.4329945,0.00322636,0.01223054,0.5435417,0.006329221,0.000002862872,0.00002307041,0.00001357004,0.001638129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3843191,"threshold_uncertainty_score":0.9872582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679894768175448,"score_gpt":0.4649982161357725,"score_spread":0.398199268454018,"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."}}