{"id":"W2913267158","doi":"10.1097/acm.0000000000002636","title":"Tracking Indigenous Applicants Through the Admissions Process of a Socially Accountable Medical School","year":2019,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Medical Education and Admissions","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Laurentian University","funders":"","keywords":"Indigenous; Demographics; Medicine; Tracking (education); Population; Demography; Logistic regression; Medical school; Family medicine; Gerontology; Psychology; Medical education; Environmental health; Sociology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002206904,0.0001992042,0.0002143079,0.001570297,0.002850909,0.001664976,0.001042697,0.0004038979,0.003551517],"category_scores_gemma":[0.01041428,0.0002496092,0.0003243375,0.001780163,0.0009098008,0.001045807,0.003562704,0.001016826,0.0007405416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610849,"about_ca_system_score_gemma":0.009242081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1521795,"about_ca_topic_score_gemma":0.2935846,"domain_scores_codex":[0.9977785,0.0004552095,0.0001182496,0.0002093561,0.0006420042,0.0007966632],"domain_scores_gemma":[0.9924385,0.0004153744,0.0031469,0.0001708912,0.001138817,0.002689521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007185805,0.0001527804,0.9750326,0.00004736703,0.00001184889,0.0001924092,0.008122911,0.00007182537,0.0003913552,0.0001581538,0.0009782602,0.01476863],"study_design_scores_gemma":[0.000003068599,0.0001586251,0.9790323,0.00004455154,0.00000665931,0.000110331,0.01857615,0.0001858461,0.0001571853,0.00009279841,0.001618933,0.00001372443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972692,0.00008187132,0.0001421984,0.0005723899,0.00001699902,0.00006921808,0.000160688,0.000009838074,0.001677584],"genre_scores_gemma":[0.9965328,0.0002568534,0.0004117628,0.0002545371,0.00003191613,0.00006983481,0.0002379546,0.000006600962,0.002197726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1521795,"threshold_uncertainty_score":0.3025874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04146911625220073,"score_gpt":0.4188138805084863,"score_spread":0.3773447642562855,"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."}}