{"id":"W4396502913","doi":"10.1016/j.ergon.2024.103590","title":"Identifying systems factors contributing to adverse events in maternal care using incident reports","year":2024,"lang":"en","type":"article","venue":"International Journal of Industrial Ergonomics","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Agency for Healthcare Research and Quality","keywords":"Staffing; Medicine; Ethnic group; Patient safety; Health equity; Mortality rate; Health care; Medical emergency; Nursing; Public health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031093,0.0001483374,0.0003515979,0.0005464563,0.00004540552,0.000038754,0.0001546179,0.000111167,0.00002085256],"category_scores_gemma":[0.0005619354,0.000128055,0.0002031662,0.0001509961,0.00001421002,0.0002655371,0.0001357365,0.0004265805,0.000003278249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144233,"about_ca_system_score_gemma":0.0004042283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004780151,"about_ca_topic_score_gemma":0.00002940296,"domain_scores_codex":[0.9979802,0.00003888059,0.001123741,0.0001704902,0.0004603737,0.0002263446],"domain_scores_gemma":[0.9987866,0.00006757972,0.000391554,0.00007989896,0.0005522132,0.0001221614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000680758,0.00003698388,0.979424,0.00004214719,0.0007943723,0.003699571,0.002147869,0.009074141,0.002013213,0.00008859207,0.0003160788,0.001682269],"study_design_scores_gemma":[0.01746264,0.001776628,0.7070833,0.06269969,0.002119227,0.02142884,0.1050196,0.005285968,0.03848585,0.0003924184,0.03575998,0.002485837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781677,0.00110551,0.0004522006,0.000147331,0.01982061,0.0001964871,0.00003087115,0.00001242621,0.00006689296],"genre_scores_gemma":[0.9972406,0.0001006763,0.0001591012,0.00003909512,0.002393028,0.000001907661,0.0000120342,0.00001878109,0.00003475587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723407,"threshold_uncertainty_score":0.5221933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135080500473757,"score_gpt":0.3530420249926864,"score_spread":0.2916912199879488,"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."}}