{"id":"W4324130347","doi":"10.1097/js9.0000000000000312","title":"Breaking down barriers in medical education: addressing racism and discrimination","year":2023,"lang":"en","type":"article","venue":"International Journal of Surgery","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"License; Attribution; Medicine; Racism; Reproduction; Work (physics); Public relations; Medical education; Library science; Internet privacy; Law; Political science; Social psychology; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699099,0.00009205109,0.0002492317,0.0007702627,0.0001605896,0.00002438437,0.0002076464,0.0001472716,0.0008417962],"category_scores_gemma":[0.003859024,0.00008154212,0.0000635804,0.0003370204,0.00005761577,0.0004028982,0.00009595363,0.0005342927,0.00003743064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296703,"about_ca_system_score_gemma":0.002035522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000183149,"about_ca_topic_score_gemma":0.0001185623,"domain_scores_codex":[0.9973573,0.0003101087,0.0009978857,0.0001208528,0.0009364825,0.0002773732],"domain_scores_gemma":[0.9969846,0.00155619,0.0005501362,0.00007049453,0.0005455555,0.0002930429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717458,0.0000552273,0.7301176,0.0001507762,0.00004052665,0.0003759366,0.004821727,0.00002386687,0.00003000808,0.001991472,0.05351339,0.2087078],"study_design_scores_gemma":[0.001069344,0.00002141774,0.8876892,0.01618979,0.00001839188,0.0003589416,0.01915502,0.001000527,0.0000221455,0.006348145,0.06788304,0.0002440339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659452,0.0007046373,0.00004934329,0.02384863,0.006933006,0.00009849595,0.000004693065,0.00002851658,0.002387512],"genre_scores_gemma":[0.9949752,0.001173083,0.0001017589,0.002260522,0.001090048,0.0000114381,0.00001723226,0.00001330418,0.0003574023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2084637,"threshold_uncertainty_score":0.9217078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09739872506886275,"score_gpt":0.491610270486173,"score_spread":0.3942115454173102,"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."}}