{"id":"W4399508035","doi":"10.1503/cmaj.230350","title":"Embracing Black heterogeneity: the importance of intersectionality in research on anti-Black racism and health care equity in Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; St Mary's Hospital Centre; Women's College Hospital; University of Toronto; Dalhousie University","funders":"","keywords":"Racism; Intersectionality; Health equity; Equity (law); Sociology; Social determinants of health; Health care; Black women; Gender studies; Political science; Economic growth; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01487062,0.0002909747,0.0008492129,0.00451251,0.02584931,0.01060898,0.002798025,0.001437983,0.005693774],"category_scores_gemma":[0.02446671,0.000398036,0.0005444646,0.008903356,0.01277902,0.004928365,0.008467077,0.004674384,0.0001153426],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1367689,"about_ca_system_score_gemma":0.2537574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993,"about_ca_topic_score_gemma":0.9974342,"domain_scores_codex":[0.9903301,0.002777331,0.0002632185,0.000876147,0.002799041,0.002954152],"domain_scores_gemma":[0.9738097,0.008466202,0.002835599,0.0008367208,0.008206432,0.005845463],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002877779,0.0001889651,0.4117847,0.001087285,0.0003518204,0.0004109637,0.1494954,0.0009797337,0.0006105544,0.1868916,0.02907372,0.2188375],"study_design_scores_gemma":[0.00004459656,0.00008494077,0.5334492,0.004730724,0.0003008685,0.0002067608,0.3431862,0.001592326,0.0006117804,0.04562275,0.06998628,0.0001835538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275394,0.03342392,0.003065399,0.2500472,0.000732889,0.0001942791,0.0009987863,0.00002996452,0.08396814],"genre_scores_gemma":[0.9880129,0.004172359,0.001211926,0.004687503,0.00009952367,0.0000454542,0.00007372176,0.0000149175,0.001681672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9851294,"threshold_uncertainty_score":0.9923325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311317086505945,"score_gpt":0.4779832612340267,"score_spread":0.3468515525834321,"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."}}