{"id":"W3041655919","doi":"10.1016/s2215-0366(20)30309-6","title":"How to provide anti-racist mental health care","year":2020,"lang":"en","type":"article","venue":"The Lancet Psychiatry","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Public Health Agency of Canada","keywords":"Mental health; MEDLINE; Mental health care; Data science; Psychology; Medicine; Psychiatry; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.009878946,0.0008279723,0.0008905504,0.001861957,0.007980796,0.008966574,0.002611037,0.01545161,0.07190219],"category_scores_gemma":[0.0565136,0.000908208,0.002237516,0.001249922,0.005245132,0.01313499,0.01066899,0.02253322,0.01954143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008215173,"about_ca_system_score_gemma":0.06136554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03814631,"about_ca_topic_score_gemma":0.07987834,"domain_scores_codex":[0.9905211,0.004274458,0.0003340876,0.0005048665,0.001799157,0.002566396],"domain_scores_gemma":[0.9549183,0.007590199,0.002238701,0.002009266,0.008329648,0.02491382],"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":[0.00006336204,0.0006399582,0.003972409,0.0008118686,0.000182952,0.0002562228,0.001526984,0.0002090312,0.000322694,0.02306235,0.8324464,0.1365058],"study_design_scores_gemma":[0.0005423726,0.0002500214,0.01431003,0.007095891,0.00031521,0.0004254002,0.01051627,0.0004559884,0.0004402596,0.08445408,0.8810065,0.0001878278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001266258,0.00410408,0.000977214,0.9674503,0.007936186,0.00007475091,0.0001587993,0.00007002683,0.01796236],"genre_scores_gemma":[0.07851319,0.02580811,0.01472661,0.8286021,0.02157226,0.001187964,0.0005083929,0.0003092324,0.02877207],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07190219,"threshold_uncertainty_score":0.2405367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06222387678242298,"score_gpt":0.3877093317387631,"score_spread":0.3254854549563401,"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."}}