{"id":"W4387711837","doi":"10.36834/cmej.75532","title":"A geographic-location-based medical school admissions process does not influence pre-clerkship and licensing examination academic performance","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"","keywords":"Rurality; Context (archaeology); Medical school; Medical education; Location; Medicine; Psychology; Family medicine; Demography; Geography; Rural area; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001604627,0.000246728,0.0002365831,0.0005719507,0.00126533,0.001544531,0.0008205386,0.0005304622,0.004004218],"category_scores_gemma":[0.0131192,0.0001837861,0.0004841282,0.001051548,0.0009992137,0.0004714817,0.001079861,0.000516557,0.0006056265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316233,"about_ca_system_score_gemma":0.008474478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2964084,"about_ca_topic_score_gemma":0.4456705,"domain_scores_codex":[0.9973827,0.0006816236,0.0001596239,0.0003998515,0.000830129,0.0005459535],"domain_scores_gemma":[0.9876798,0.002129504,0.00470651,0.0007003507,0.001178973,0.003604744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008382848,0.00007418715,0.9964141,0.000007118906,0.00002607007,0.00003926194,0.000328576,0.00005170353,0.0001975368,0.00003971808,0.0001803331,0.002557634],"study_design_scores_gemma":[0.000002126968,0.00006447622,0.9992571,0.000005517823,0.000007521148,0.0000231481,0.0003471583,0.00008823223,0.00004806711,0.00001419103,0.0001398785,0.00000251489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983291,0.00008730812,0.0001214378,0.0001794861,0.00001384525,0.0000238927,0.000171222,0.000006217198,0.001067571],"genre_scores_gemma":[0.9993351,0.00002905347,0.00005181921,0.00002152455,0.000004042843,0.000006823921,0.0001015668,0.000002862535,0.0004471442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2964084,"threshold_uncertainty_score":0.5893663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722714187040476,"score_gpt":0.3458602709359484,"score_spread":0.3286331290655436,"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."}}