{"id":"W3129557841","doi":"10.30770/2572-1852-106.4.17","title":"Does Pass/Fail on Medical Licensing Exams Predict Future Physician Performance in Practice? A Longitudinal Cohort Study of Alberta Physicians","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Regulation","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Poisson regression; Cohort; Family medicine; Longitudinal study; Psychological intervention; Odds; Multivariate analysis; Medical school; Multivariate statistics; Logistic regression; Medical education; Nursing; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143417,0.0002045252,0.0002180187,0.0007601713,0.001102299,0.000984474,0.0008257421,0.0005555967,0.001280902],"category_scores_gemma":[0.003587514,0.0003392019,0.0003445226,0.0009698689,0.0005956684,0.0005296796,0.0006126775,0.000969613,0.0002557544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549237,"about_ca_system_score_gemma":0.003435039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6042975,"about_ca_topic_score_gemma":0.6621952,"domain_scores_codex":[0.9993315,0.0001132125,0.00002343569,0.0001117227,0.0001939953,0.0002262654],"domain_scores_gemma":[0.9976735,0.0002831987,0.0007290476,0.0002082,0.0004274734,0.000678632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003157145,0.00004875465,0.9990164,8.263634e-7,0.00001152609,0.000029809,0.0002507841,0.00001842031,0.0000410284,0.00001744457,0.00008983813,0.0004436565],"study_design_scores_gemma":[0.000002598196,0.00003594279,0.999279,0.000003146396,0.000005551879,0.00002351615,0.0004059276,0.0001389694,0.00001121761,0.00001292305,0.0000788494,0.000002277591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994233,0.00004686596,0.00002578018,0.0001162136,0.000002978867,0.000004968314,0.000159766,0.000001619807,0.0002185634],"genre_scores_gemma":[0.9992352,0.00005012461,0.00004594489,0.00004504687,0.000004349603,0.000004017262,0.0002381302,0.000001289816,0.0003758234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974508,"threshold_uncertainty_score":0.7960657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543462118253645,"score_gpt":0.39557382756916,"score_spread":0.3601392063866236,"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."}}