{"id":"W4407972457","doi":"10.3390/healthcare13050499","title":"A SEIPS-Based Analysis to Understand Safety Culture During Postpartum Hemorrhage","year":2025,"lang":"en","type":"article","venue":"Healthcare","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safety culture; Medicine; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01211471,0.0006452808,0.0004204457,0.004978338,0.002450645,0.002558068,0.001006816,0.000647236,0.001757281],"category_scores_gemma":[0.04117815,0.0003547293,0.001112602,0.003814064,0.001242071,0.002738527,0.00430641,0.001433162,0.000259595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007101578,"about_ca_system_score_gemma":0.007633528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169094,"about_ca_topic_score_gemma":0.01646039,"domain_scores_codex":[0.9932703,0.003930946,0.0008408718,0.0004650888,0.0009318624,0.0005607822],"domain_scores_gemma":[0.9668348,0.020019,0.003581675,0.001219705,0.007528172,0.0008165646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642326,0.000461066,0.4541837,0.001443825,0.0001394253,0.001049512,0.4348139,0.001762326,0.002283956,0.007753356,0.003422682,0.09252208],"study_design_scores_gemma":[0.00003199909,0.0002972885,0.2426343,0.0008087302,0.0001469537,0.0003438318,0.7182708,0.01532334,0.002305662,0.004819515,0.01495311,0.00006450447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618961,0.0001532971,0.02582578,0.001414417,0.00003225526,0.001024563,0.001157336,0.0001065185,0.008389886],"genre_scores_gemma":[0.9779794,0.0001562253,0.01874133,0.0001635229,0.000007135501,0.001162446,0.001004107,0.00001637433,0.0007696024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169094,"threshold_uncertainty_score":0.06406945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05488853336108318,"score_gpt":0.4029827395688804,"score_spread":0.3480942062077972,"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."}}