{"id":"W3199939705","doi":"10.1177/08404704211038232","title":"Inclusion, diversity, equity, and accessibility: From organizational responsibility to leadership competency","year":2021,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; McMaster University; University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Public relations; Health care; Excellence; Inclusion (mineral); Mentorship; Racism; Sociology; Health equity; Equity (law); Context (archaeology); Corporate governance; Diversity (politics); Political science; Management; Social science; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001962529,0.0001126939,0.0001866196,0.0001010988,0.003249323,0.0001608177,0.0007676993,0.00009493477,0.0008691362],"category_scores_gemma":[0.0003521497,0.0001267205,0.00003682238,0.0007299708,0.0002120272,0.0002108136,0.03608945,0.0001463651,0.00004485794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013356,"about_ca_system_score_gemma":0.0002521139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004839081,"about_ca_topic_score_gemma":0.02970086,"domain_scores_codex":[0.9967791,0.000426432,0.0002018302,0.000527434,0.001599593,0.0004655971],"domain_scores_gemma":[0.9987427,0.000145941,0.00005404664,0.0003327612,0.0003447996,0.000379754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001102161,0.0001542178,0.627365,0.0002635957,0.00005915972,0.0001563543,0.03332954,0.000001578303,0.00001032438,0.2500581,0.02048188,0.06801007],"study_design_scores_gemma":[0.0007878601,0.00008990504,0.3348784,0.0001719223,0.00007088746,7.737814e-7,0.2585264,0.000008438157,0.00003177954,0.3422697,0.06284704,0.0003168676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2142612,0.001026598,0.001097109,0.7112419,0.001168808,0.0008728173,0.0001145474,0.0002119884,0.07000501],"genre_scores_gemma":[0.958575,0.0002073155,0.001223725,0.03764213,0.0001200112,0.000003346979,0.00007807147,0.000006636463,0.002143757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7443138,"threshold_uncertainty_score":0.9980483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09985804687738985,"score_gpt":0.3638966395080087,"score_spread":0.2640385926306189,"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."}}