{"id":"W2911594032","doi":"10.1109/weef-gedc.2018.8629758","title":"What Engineering Admissions Can Learn from Medical School Admissions","year":2018,"lang":"en","type":"article","venue":"2018 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cognition; Diversity (politics); Process (computing); Medical education; Cultural diversity; Medical school; Cognitive skill; Psychology; Medical ethics; Medicine; Computer science; Political science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01094936,0.0005680221,0.001024919,0.005567216,0.005522515,0.01763886,0.002544986,0.004654622,0.02517903],"category_scores_gemma":[0.1732292,0.0005485161,0.001429964,0.005804708,0.004584034,0.01794605,0.01132534,0.005553998,0.005251879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004906092,"about_ca_system_score_gemma":0.008938255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005132711,"about_ca_topic_score_gemma":0.01937068,"domain_scores_codex":[0.9769408,0.01168409,0.001899345,0.0007063914,0.006558287,0.002211178],"domain_scores_gemma":[0.9063874,0.03581405,0.01159557,0.004950018,0.0142746,0.02697843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002521488,0.001062049,0.1181203,0.001924781,0.0001099459,0.003750394,0.02360092,0.0005046164,0.0001652699,0.01942176,0.1734367,0.6576511],"study_design_scores_gemma":[0.0001483223,0.0009475898,0.2902786,0.01382577,0.0001761883,0.008598049,0.1455937,0.001111947,0.0009057396,0.1530883,0.3848397,0.0004861191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1526646,0.02760125,0.003317904,0.685938,0.01153482,0.000218978,0.0009869883,0.0003364521,0.117401],"genre_scores_gemma":[0.8458912,0.04190736,0.003678648,0.05024708,0.03271782,0.0001961859,0.001264296,0.000256004,0.02384135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02517903,"threshold_uncertainty_score":0.08423227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210087307199139,"score_gpt":0.2791190136054275,"score_spread":0.2570181405334361,"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."}}