{"id":"W7132971186","doi":"","title":"Pharmacist Regulatory Infractions and Location of Training: Evidence from the Ontario College of Pharmacists Data","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Licensure; Pharmacist; Commit; Pharmacy; Workforce; Logistic regression","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":[0.004951156,0.0001711379,0.000362287,0.002039882,0.0009868296,0.001204949,0.001261298,0.0003775585,0.005617],"category_scores_gemma":[0.04891443,0.0003011517,0.0007319068,0.006784169,0.0009348112,0.0005777414,0.001013588,0.0005569174,0.0003163805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006569855,"about_ca_system_score_gemma":0.02115471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.819325,"about_ca_topic_score_gemma":0.8840029,"domain_scores_codex":[0.9907565,0.001240299,0.0008812839,0.0006736682,0.005595996,0.0008522631],"domain_scores_gemma":[0.9145959,0.02191747,0.04476016,0.002459343,0.01324794,0.003019179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009341907,0.0000131093,0.9926,0.0002958321,0.00009750419,0.0000341339,0.0003574867,0.00003871472,0.00001699959,0.00006146757,0.001861726,0.004529668],"study_design_scores_gemma":[0.00001089801,0.00001669177,0.9972915,0.0002150879,0.00009286793,0.00002783358,0.0003677224,0.00005857553,0.00002003407,0.0000141815,0.001881137,0.000003490765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359235,0.006256858,0.0004298781,0.003859478,0.00005223684,0.0002369714,0.03213784,0.00002994947,0.02107342],"genre_scores_gemma":[0.9928339,0.002035306,0.0002050929,0.0002886773,0.00002258341,0.00005987584,0.003908691,0.000009002588,0.0006369118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180675,"threshold_uncertainty_score":0.3634781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2871306136961435,"score_gpt":0.4865131616593993,"score_spread":0.1993825479632558,"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."}}