{"id":"W2125119048","doi":"10.1111/j.1365-2929.2007.02709.x","title":"Multiple mini‐interviews predict clerkship and licensing examination performance","year":2007,"lang":"en","type":"article","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Specialty; Test (biology); Medical education; United States Medical Licensing Examination; Entrance exam; Objective structured clinical examination; Cognition; Family medicine; Clinical clerkship; Medicine; Psychology; MEDLINE; Medical school; Clinical psychology; Curriculum; Predictive validity; Psychiatry; Pedagogy","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":[0.001595998,0.0001205034,0.0001822812,0.0001639761,0.000118431,0.00001633229,0.00007211408,0.0001772046,0.002621007],"category_scores_gemma":[0.01672193,0.00009702805,0.00003828934,0.0002435164,0.0001368874,0.000104421,0.00002914497,0.0003305485,0.00005483971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000860203,"about_ca_system_score_gemma":0.001590686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002843458,"about_ca_topic_score_gemma":0.00001805358,"domain_scores_codex":[0.9984356,0.00006133405,0.00040891,0.0002533066,0.0005955536,0.0002452978],"domain_scores_gemma":[0.9979555,0.0002268765,0.00009166139,0.0002077811,0.0001930277,0.001325174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003705213,0.0006509232,0.02664419,0.0001949574,0.000009430993,0.000002734347,0.001826235,4.121186e-8,0.0003275635,0.00008557523,0.02663905,0.9435822],"study_design_scores_gemma":[0.001015075,0.0001725293,0.7596435,0.0009884355,0.00004878901,0.0001813887,0.002026358,0.003783385,0.0008280001,0.00001656341,0.231155,0.0001409754],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672891,0.0005291147,0.001152816,0.02102772,0.00114925,0.0003233036,4.908056e-7,0.00007473311,0.008453471],"genre_scores_gemma":[0.9749539,0.0002442109,0.00148369,0.01923903,0.0007615697,0.00001651365,0.00007813484,0.00001518478,0.003207693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9434413,"threshold_uncertainty_score":0.9982907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315672226231781,"score_gpt":0.3552565214633527,"score_spread":0.3236892988401746,"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."}}