{"id":"W3118316166","doi":"10.1503/cmaj.201579","title":"Time to dismantle systemic anti-Black racism in medicine in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Dalhousie University","funders":"","keywords":"Racism; Counterfeit; George (robot); Officer; White (mutation); Medicine; Liberian dollar; Law; Criminology; Sociology; History; Political science; Art history; Business","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":[0.006673102,0.0004616882,0.0006849915,0.001673172,0.0316066,0.0114425,0.003446702,0.009734367,0.02262339],"category_scores_gemma":[0.01414176,0.0007930116,0.0007791036,0.001765947,0.01263046,0.00336913,0.009299885,0.01943853,0.002148079],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1461437,"about_ca_system_score_gemma":0.4555532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769945,"about_ca_topic_score_gemma":0.9942389,"domain_scores_codex":[0.9876714,0.001480236,0.0003066406,0.0006116533,0.003429134,0.006500934],"domain_scores_gemma":[0.94665,0.001860124,0.0008976109,0.0005278458,0.01062292,0.03944154],"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":[0.00004523284,0.00007487401,0.00512085,0.000170312,0.00003695506,0.0004699494,0.004432054,0.0001160339,0.0003098636,0.01590106,0.9299926,0.04333032],"study_design_scores_gemma":[0.0000630068,0.00007009805,0.0247829,0.001051886,0.00003356673,0.0002729892,0.01965399,0.0001647478,0.0001665363,0.005045958,0.948576,0.0001181788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004982254,0.008239553,0.0002478311,0.9541438,0.008348904,0.00005722894,0.0001154464,0.00005837693,0.02380672],"genre_scores_gemma":[0.2306592,0.02338543,0.003072861,0.657212,0.006520019,0.0001961758,0.0003464093,0.0002372645,0.07837077],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8538563,"threshold_uncertainty_score":0.9903523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365435217390616,"score_gpt":0.2986727060248036,"score_spread":0.2850183538508975,"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."}}