{"id":"W2965466164","doi":"10.36834/cmej.61275","title":"Lines in the sand: pre-interview rank and probability of receiving admission to medical school","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bonferroni correction; Spearman's rank correlation coefficient; Rank (graph theory); Entrance exam; Rank correlation; Statistics; Test (biology); Mathematics; Medical school; Bin; Psychology; Quotient; Demography; Medicine; Family medicine; Combinatorics; Medical education; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002284074,0.0001192259,0.0001415691,0.00122853,0.0009534541,0.001388934,0.0005362273,0.0003654202,0.01892621],"category_scores_gemma":[0.02158902,0.0001052089,0.0001735781,0.0008981472,0.0008065619,0.0005565282,0.0009463098,0.000703259,0.001283073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009592039,"about_ca_system_score_gemma":0.0020259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516616,"about_ca_topic_score_gemma":0.0242763,"domain_scores_codex":[0.9978462,0.000545277,0.0001133544,0.0001569664,0.0007125863,0.0006254768],"domain_scores_gemma":[0.9758696,0.008789479,0.007136652,0.0004935827,0.002112405,0.005598327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002671267,0.00008589359,0.986978,0.00001869146,0.00001037709,0.00006546129,0.001009723,0.000100267,0.0002221973,0.0003411966,0.001090238,0.009810882],"study_design_scores_gemma":[0.000003921604,0.0001339129,0.9950114,0.00001553442,0.000004312698,0.00007106048,0.003374583,0.0002357206,0.0001206814,0.0001219855,0.0009000273,0.000006788892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947374,0.00006158906,0.0002021239,0.0004714262,0.00001523019,0.00002628203,0.0001758075,0.00001333529,0.004296777],"genre_scores_gemma":[0.999146,0.00002164649,0.0001204682,0.00002390037,0.00001013253,0.000006119698,0.00006399023,0.000002272217,0.0006054295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01892621,"threshold_uncertainty_score":0.06331444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227999816766757,"score_gpt":0.3538746596931083,"score_spread":0.3310746780164326,"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."}}