{"id":"W4297516829","doi":"10.36834/cmej.75664","title":"Tackling implicit bias towards Indigenous peoples in Canadian health care through Canadian medical education","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michener Institute; University of Ottawa","funders":"","keywords":"Indigenous; Health care; Political science; Medicine; Biology; Ecology; Law","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":[0.02063157,0.0003824263,0.000672572,0.001832106,0.01428653,0.004025052,0.002488829,0.001275747,0.004843635],"category_scores_gemma":[0.04823235,0.000358979,0.0006302801,0.002601674,0.006705035,0.002988677,0.01127925,0.004650565,0.0001670754],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05860105,"about_ca_system_score_gemma":0.2044068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862903,"about_ca_topic_score_gemma":0.9934028,"domain_scores_codex":[0.9870927,0.00412422,0.0004681197,0.0006946101,0.00398807,0.003632279],"domain_scores_gemma":[0.977965,0.006994193,0.002202537,0.0009043734,0.007067113,0.004866772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003030963,0.0004376264,0.2718895,0.001772775,0.0003613973,0.0004861462,0.2843485,0.0007139327,0.0008818818,0.03973018,0.05393784,0.3451371],"study_design_scores_gemma":[0.0001990349,0.0003427709,0.6048726,0.007982757,0.0009503044,0.000281975,0.2239231,0.002130491,0.001557266,0.01587502,0.1415589,0.0003256916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.687388,0.01411007,0.005406985,0.2068176,0.001424897,0.0005425704,0.001057069,0.00006766018,0.08318513],"genre_scores_gemma":[0.9787734,0.004121935,0.002717082,0.01017264,0.0001128007,0.0001371929,0.0002098492,0.00002222396,0.003732927],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.941399,"threshold_uncertainty_score":0.4251824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840044660580447,"score_gpt":0.3769590910023968,"score_spread":0.3485586443965923,"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."}}