{"id":"W4409309582","doi":"10.1136/bmj.r677","title":"Reforming diversity, equity, and inclusion initiatives to prioritise evidence based strategies","year":2025,"lang":"en","type":"letter","venue":"BMJ","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Toronto; University of British Columbia","funders":"","keywords":"Equity (law); Inclusion (mineral); Diversity (politics); Computer science; Data science; Political science; Public economics; Psychology; Economics; Social psychology","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":[0.05302323,0.0010153,0.002621248,0.002722518,0.01864758,0.0194488,0.005417146,0.1825287,0.02021307],"category_scores_gemma":[0.1878834,0.001926424,0.002976961,0.002033389,0.02370581,0.02670973,0.01969726,0.1407212,0.009081028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01984297,"about_ca_system_score_gemma":0.1045319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03739527,"about_ca_topic_score_gemma":0.07319775,"domain_scores_codex":[0.9413058,0.01931805,0.006674697,0.003319074,0.01915496,0.0102273],"domain_scores_gemma":[0.7334418,0.152406,0.009578426,0.005240015,0.0312213,0.06811237],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004250072,0.0001449667,0.0007310123,0.0002225172,0.00003106236,0.0006486377,0.001222774,0.0001094313,0.000291278,0.02285225,0.9585656,0.01513799],"study_design_scores_gemma":[0.0003550932,0.00008873233,0.002184325,0.001575813,0.00006475355,0.0007849536,0.005222579,0.0007342883,0.0003502126,0.1111852,0.8772259,0.0002280614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001128375,0.0002650911,0.00008761197,0.995364,0.003193959,0.000009536142,0.000009467003,0.000006606791,0.0009509433],"genre_scores_gemma":[0.002164903,0.0003691948,0.0004945808,0.9824932,0.01204824,0.00005536715,0.00001201064,0.00001574682,0.002346838],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9469768,"threshold_uncertainty_score":0.280417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.192793719736973,"score_gpt":0.5134263618753524,"score_spread":0.3206326421383794,"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."}}