{"id":"W4302763319","doi":"10.1177/2327857922111014","title":"Adverse Events in Maternal Care: Investigating Racial/Ethnic Disparities at the System Level","year":2022,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Ethnic group; Demography; Health equity; Health care; Pregnancy; Odds ratio; Harm; Women of color; Odds; Adverse effect; Public health; Logistic regression; Race (biology); Psychology; Internal medicine; Nursing","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":[0.003603897,0.0001893618,0.0002863751,0.002222822,0.0007363678,0.0008848213,0.0005793612,0.0003499979,0.001917172],"category_scores_gemma":[0.007373339,0.000174441,0.001047255,0.002608823,0.0004138479,0.001097598,0.002024218,0.000832192,0.0001229898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544782,"about_ca_system_score_gemma":0.002634096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0323862,"about_ca_topic_score_gemma":0.04856052,"domain_scores_codex":[0.9979354,0.0007929989,0.0002322498,0.0002523419,0.0004430543,0.0003439721],"domain_scores_gemma":[0.996053,0.0009653403,0.001909327,0.0001749565,0.0005163532,0.000380949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001898636,0.00003697028,0.9942948,0.00005460504,0.00009857913,0.0000143106,0.0003519045,0.00006654555,0.00003228248,0.0002041474,0.0001543238,0.004672479],"study_design_scores_gemma":[0.000002358024,0.0001077757,0.9970145,0.00006368891,0.00005205002,0.00003651324,0.00151368,0.0005857041,0.00006704166,0.000118271,0.0004351776,0.000003219719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957492,0.0009360126,0.0002998471,0.0007165018,0.00001744,0.00004198691,0.0007095923,0.000004024539,0.001525296],"genre_scores_gemma":[0.9986948,0.0004141204,0.0003551298,0.00009497329,0.00002179084,0.00003593816,0.0002473248,0.000001644847,0.000134236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0323862,"threshold_uncertainty_score":0.06439537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264790051327941,"score_gpt":0.317580769167949,"score_spread":0.2649328686546696,"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."}}