{"id":"W2884437142","doi":"10.1097/acm.0000000000002366","title":"Examining Demographics, Prior Academic Performance, and United States Medical Licensing Examination Scores","year":2018,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Medical Education and Admissions","field":"Medicine","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"United States Medical Licensing Examination; Covariate; Demographics; Medicine; Licensure; Test (biology); Educational measurement; Family medicine; Medical education; Medical school; Psychology; Demography; Curriculum; Statistics; Pedagogy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002740797,0.0002806781,0.0002793254,0.0008164094,0.0004173536,0.0005940367,0.0003893918,0.0005418052,0.003495083],"category_scores_gemma":[0.01471797,0.0002019886,0.0004346373,0.0008980583,0.0004060053,0.0007747687,0.0006319137,0.0006217948,0.0004768926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004925038,"about_ca_system_score_gemma":0.001378418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103467,"about_ca_topic_score_gemma":0.01681175,"domain_scores_codex":[0.9988575,0.0004013814,0.00009557641,0.0002017332,0.0002871544,0.0001565129],"domain_scores_gemma":[0.9910963,0.002946073,0.003395184,0.00043311,0.0008590356,0.001270278],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001167725,0.00003296004,0.9992915,0.000001926262,0.00001466956,0.000007090176,0.00003706077,0.00002336793,0.00002209834,0.000009745926,0.00003880703,0.0005089287],"study_design_scores_gemma":[8.715167e-7,0.00004026616,0.999588,0.000002772822,0.000005270545,0.00001382811,0.0001190486,0.0001291115,0.0000287878,0.00001109612,0.00005996986,0.000001130252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988543,0.00004688219,0.0001364962,0.00008797404,0.000004724959,0.000009670591,0.0002907706,0.000004365558,0.0005648625],"genre_scores_gemma":[0.9994011,0.0000212312,0.00007630818,0.00002447801,0.000005425412,0.00001076945,0.0002837251,0.000001448181,0.0001754398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9972592,"threshold_uncertainty_score":0.02194089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430175501914472,"score_gpt":0.365705723401871,"score_spread":0.3014039683827263,"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."}}