{"id":"W4412523044","doi":"10.1186/s12910-025-01228-y","title":"Advancing equity in healthcare systems: understanding implicit bias and infant mortality","year":2025,"lang":"en","type":"article","venue":"BMC Medical Ethics","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Implicit-association test; Health equity; Demography; Population; Implicit bias; Medicine; Equity (law); Infant mortality; Health care; Psychology; Social psychology; Public health; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01747674,0.0003522918,0.0003577124,0.002124702,0.0009433927,0.00334234,0.0007672207,0.0007485771,0.002102389],"category_scores_gemma":[0.06402045,0.0002668262,0.0004217294,0.001729488,0.003557115,0.006166201,0.005281963,0.001675583,0.0001054656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003274686,"about_ca_system_score_gemma":0.004200069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0185724,"about_ca_topic_score_gemma":0.02106119,"domain_scores_codex":[0.9919096,0.005193703,0.0003562263,0.0005651726,0.001172214,0.0008030859],"domain_scores_gemma":[0.9661132,0.02069337,0.007731015,0.002055101,0.002093355,0.001313988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006267648,0.0001142811,0.9167274,0.00009122453,0.000133836,0.00004422054,0.01052984,0.00140812,0.0001105797,0.02336787,0.0004983553,0.04691172],"study_design_scores_gemma":[0.00003778366,0.0001810671,0.8458562,0.0005760055,0.0001012895,0.00009483768,0.01654848,0.01613319,0.0004808366,0.1148371,0.005104165,0.00004898035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595104,0.002299046,0.01076544,0.01577846,0.00005601226,0.00005727017,0.0001660871,0.0000124191,0.0113547],"genre_scores_gemma":[0.9986225,0.0001903228,0.0006739907,0.0003271329,0.00002998179,0.00001303415,0.00002381646,0.000002083108,0.000117033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185724,"threshold_uncertainty_score":0.09242696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.391202880362422,"score_gpt":0.559535118991635,"score_spread":0.168332238629213,"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."}}