{"id":"W4401373459","doi":"10.1080/0142159x.2024.2384958","title":"Twelve tips for strengthening global equity in health professions education publication","year":2024,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Scholarship; Equity (law); Silence; Scope (computer science); Health professions; Social justice; Knowledge production; Health equity; Engineering ethics; Sociology; Public relations; Political science; Social science; Knowledge management; Health care; Law; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1570831,0.001410906,0.001315709,0.00732841,0.01468983,0.05325366,0.003453122,0.01738322,0.02185082],"category_scores_gemma":[0.2115113,0.001201336,0.001737855,0.005908018,0.02850333,0.05213215,0.03272409,0.0302872,0.007239903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007854224,"about_ca_system_score_gemma":0.05367484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065499,"about_ca_topic_score_gemma":0.005787236,"domain_scores_codex":[0.8843066,0.06104201,0.01072242,0.00476706,0.02755494,0.01160707],"domain_scores_gemma":[0.6428448,0.1780526,0.01329291,0.03375803,0.07675137,0.05530022],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458842,0.0003820977,0.004528961,0.0018593,0.00009997251,0.0004541359,0.01919918,0.0003946609,0.0005957042,0.2726731,0.4580617,0.2416053],"study_design_scores_gemma":[0.0001140871,0.0001354184,0.002483324,0.004265087,0.00006730418,0.0002674724,0.02792423,0.0001981739,0.0005151154,0.1615001,0.8024236,0.0001060592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002158746,0.005097467,0.004113444,0.9538932,0.01653035,0.0001423372,0.00004974738,0.0002449474,0.0177698],"genre_scores_gemma":[0.1649452,0.02482186,0.08715308,0.6345527,0.04145859,0.001335261,0.0004713825,0.001378429,0.04388349],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.842917,"threshold_uncertainty_score":0.8307446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126722902630734,"score_gpt":0.5129744786995929,"score_spread":0.4003021884365195,"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."}}