{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00105189,0.0001424824,0.0002258823,0.00009466445,0.0005040629,0.00004545071,0.0002058165,0.0001103274,0.001984274],"category_scores_gemma":[0.03757982,0.0001145416,0.00009327379,0.00006168803,0.0001484979,0.0001650123,0.00003568487,0.0002942602,0.00008743137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383275,"about_ca_system_score_gemma":0.003105881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003042741,"about_ca_topic_score_gemma":0.000004607901,"domain_scores_codex":[0.99845,0.00009415746,0.0003165236,0.0003132055,0.0005987411,0.0002273954],"domain_scores_gemma":[0.9978189,0.0002797701,0.0002099954,0.0004643101,0.0002918007,0.0009352033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001546832,0.001929336,0.009503054,0.0004087472,0.00002624745,0.000001363971,0.0009947439,3.451063e-7,0.0001621949,0.0001001713,0.0789872,0.9077319],"study_design_scores_gemma":[0.003504724,0.000611654,0.3999333,0.002612955,0.0001498712,0.00004085274,0.000476136,0.04118299,0.002736159,0.00005378151,0.5484793,0.0002183302],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827074,0.0001345015,0.00205695,0.1007003,0.004062066,0.001293807,0.000009063461,0.0000976966,0.008938226],"genre_scores_gemma":[0.9789507,0.0002236105,0.0007528338,0.01447027,0.001380994,0.0002187471,0.0001524842,0.0000201348,0.003830229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9075136,"threshold_uncertainty_score":0.9989281,"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."}}