{"id":"W2580402349","doi":"10.1111/medu.13222","title":"Multiple mini‐interview predictive validity for performance on a pharmacy licensing examination","year":2017,"lang":"en","type":"article","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conference Board of Canada; University Health Network; University of Toronto","funders":"","keywords":"Pharmacy; Licensure; Predictive validity; Medicine; Context (archaeology); Objective structured clinical examination; Test (biology); Certification; Family medicine; Psychology; Clinical psychology; Medical education","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":[0.005158617,0.0002950907,0.0003101385,0.00122721,0.0003444684,0.0007206941,0.0005466327,0.0004560928,0.002223565],"category_scores_gemma":[0.03515168,0.0001705451,0.0006154646,0.0009041844,0.0006523538,0.0004663451,0.001000602,0.0009788917,0.0003186043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006046906,"about_ca_system_score_gemma":0.001283994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212151,"about_ca_topic_score_gemma":0.01545667,"domain_scores_codex":[0.9979827,0.0008768638,0.0001452602,0.0001759033,0.0006514419,0.0001676926],"domain_scores_gemma":[0.9813602,0.009682997,0.005337989,0.0006337354,0.001879481,0.001105502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002157189,0.00002214474,0.9958946,0.00001072859,0.00001901247,0.00001209817,0.00008097143,0.00009731241,0.00003872013,0.00005640122,0.000186206,0.003560306],"study_design_scores_gemma":[0.00000348219,0.00005466489,0.9977531,0.0000332574,0.00001779538,0.00008615469,0.0001628833,0.001258572,0.0001199478,0.0001145829,0.0003911059,0.000004588459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933823,0.0005404769,0.0008950058,0.0006926191,0.00005691146,0.0000435386,0.0006325224,0.00002634833,0.003730253],"genre_scores_gemma":[0.9988757,0.000128162,0.0004123672,0.00004230489,0.00002085689,0.00001950377,0.0003192401,0.000002973622,0.0001789949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212151,"threshold_uncertainty_score":0.0272817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356662671702664,"score_gpt":0.4453234219097756,"score_spread":0.3096571547395092,"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."}}