{"id":"W4304845711","doi":"10.1177/08404704221125368","title":"Equity within AI systems: What can health leaders expect?","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Equity (law); Health equity; Public relations; Work (physics); Business; Political science; Health care; Psychology; Medicine; Engineering; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.04044945,0.0005217084,0.0009636148,0.001487285,0.006766953,0.01811785,0.002240355,0.01201983,0.01029873],"category_scores_gemma":[0.07311585,0.000367359,0.0005983514,0.001384564,0.01887737,0.02302948,0.01119839,0.01653242,0.001907835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007220366,"about_ca_system_score_gemma":0.0196991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00595699,"about_ca_topic_score_gemma":0.007463049,"domain_scores_codex":[0.9806162,0.01081232,0.0005296996,0.0007536789,0.003374901,0.003913273],"domain_scores_gemma":[0.9268515,0.03199327,0.004621153,0.001797031,0.009322731,0.02541438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001837884,0.0004003489,0.01904848,0.001171806,0.0001196344,0.0006224323,0.02433426,0.000718313,0.0003989269,0.2849088,0.4519868,0.2161063],"study_design_scores_gemma":[0.0001403708,0.0003697985,0.0116674,0.004860868,0.00008315552,0.0003854868,0.07409085,0.001048319,0.0004846648,0.5857646,0.3209653,0.0001391372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001680954,0.003194239,0.0004856083,0.9899606,0.0009696567,0.00001042935,0.0000179705,0.00001403618,0.003666586],"genre_scores_gemma":[0.327614,0.0216343,0.002732129,0.6311896,0.01097754,0.0001776582,0.0001218534,0.00008146276,0.005471442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04044945,"threshold_uncertainty_score":0.2139197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154729147325315,"score_gpt":0.4572062369215564,"score_spread":0.2417333221890249,"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."}}