{"id":"W4398173631","doi":"10.1503/cmaj.240641","title":"Correction to “Ensuring incoming cohorts of medical students better represent the diversity of Indigenous communities in Canada”","year":2024,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Diversity (politics); Geography; Library science; Medical education; Data science; Political science; Medicine; Computer science; Ecology; Biology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007778935,0.001948872,0.002030146,0.002737308,0.01369937,0.007414722,0.004846725,0.01401558,0.05008812],"category_scores_gemma":[0.1101606,0.001280824,0.00167495,0.002682413,0.005740375,0.002260941,0.003129616,0.02316179,0.02511785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02302952,"about_ca_system_score_gemma":0.07156902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6773885,"about_ca_topic_score_gemma":0.6923297,"domain_scores_codex":[0.9843385,0.001118266,0.001558061,0.001197773,0.009580121,0.002207239],"domain_scores_gemma":[0.9122499,0.01124831,0.002662171,0.002189141,0.06752921,0.004121289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003661761,0.000001043305,0.00002250042,0.00001112454,0.00000125844,0.00002110935,0.00001954171,0.00000401208,0.000003889672,0.0001402775,0.99919,0.000581516],"study_design_scores_gemma":[0.000031852,0.000009092489,0.0008815563,0.0004450432,0.0000182947,0.0001287841,0.0002216917,0.0001173675,0.0001183172,0.0005156183,0.9974607,0.00005167123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001413449,0.0008230704,0.0003697816,0.2941988,0.6948476,0.00004011578,0.00263401,0.0005038355,0.006441439],"genre_scores_gemma":[0.01229019,0.004824988,0.0028623,0.5433698,0.2046964,0.000271873,0.003294293,0.0017531,0.226637],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3226115,"threshold_uncertainty_score":0.6490228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415764520910387,"score_gpt":0.3616835268116601,"score_spread":0.3375258816025563,"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."}}