{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002275562,0.0002185194,0.0002745511,0.001126502,0.0007126694,0.00008512294,0.0003218659,0.0005764641,0.0575198],"category_scores_gemma":[0.3996907,0.0001639087,0.00006071714,0.001428063,0.0003060167,0.0002898908,0.00002208149,0.002287407,0.00009689113],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651489,"about_ca_system_score_gemma":0.2989671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007449491,"about_ca_topic_score_gemma":0.0007851569,"domain_scores_codex":[0.996141,0.0001878353,0.0007290542,0.0003752242,0.001966028,0.0006008286],"domain_scores_gemma":[0.9211837,0.0003302408,0.000206144,0.0002646254,0.001190252,0.07682502],"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":[0.0001729045,0.0008137921,0.1567364,0.00182393,0.0001476206,0.0002387268,0.007800321,0.0001274495,0.0004014888,0.000743878,0.1774286,0.653565],"study_design_scores_gemma":[0.001816461,0.0001712197,0.883684,0.006929713,0.0001200238,0.001421157,0.003507501,0.03144582,0.0001781642,0.0002319241,0.07001464,0.0004794149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7073686,0.0002128826,0.00002321054,0.2908111,0.0008550392,0.0002936673,0.000003015038,0.00007988878,0.0003526696],"genre_scores_gemma":[0.8510626,0.0007127344,0.0001549457,0.1454607,0.001001716,0.00006183561,0.00006147872,0.00002759035,0.001456448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7269476,"threshold_uncertainty_score":0.9937773,"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."}}