{"id":"W2770077985","doi":"10.1503/cmaj.171234","title":"Healing racism in Canadian health care","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Indigenous; Racism; Sterilization (economics); Medicine; Health care; Family medicine; Nursing; Political science; Sociology; Gender studies; Business; 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":[0.004503199,0.0003961605,0.0004544517,0.002646293,0.0327686,0.007407346,0.002874725,0.003046789,0.01987066],"category_scores_gemma":[0.01040113,0.0003087964,0.000496744,0.004215984,0.01078586,0.00213084,0.006619703,0.007366816,0.0006442705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1297248,"about_ca_system_score_gemma":0.314182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865258,"about_ca_topic_score_gemma":0.9948635,"domain_scores_codex":[0.9923024,0.001341544,0.000188921,0.0003890363,0.003098201,0.002679928],"domain_scores_gemma":[0.9836128,0.001023202,0.000751617,0.0003052644,0.005778058,0.008529144],"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":[0.0000664395,0.0001721437,0.02323665,0.00105587,0.00006225351,0.001353136,0.05642708,0.000248187,0.0004765062,0.09252332,0.6126073,0.2117712],"study_design_scores_gemma":[0.00003506944,0.00005429527,0.04491426,0.0026633,0.00004213549,0.0007141888,0.07494681,0.0002036027,0.0001591847,0.01148519,0.8646889,0.00009306618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04237765,0.03627153,0.001116341,0.7125548,0.006830258,0.0001449337,0.0005052126,0.0001351557,0.2000641],"genre_scores_gemma":[0.7966301,0.0448021,0.00498549,0.1052005,0.002428881,0.0001779174,0.000515573,0.0001592333,0.04510012],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1297248,"threshold_uncertainty_score":0.9412239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712785497389645,"score_gpt":0.4278750554017217,"score_spread":0.4007472004278252,"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."}}