{"id":"W2069307833","doi":"10.2471/blt.09.071001","title":"WHO maternal death and near-miss classifications","year":2009,"lang":"en","type":"editorial","venue":"Bulletin of the World Health Organization","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":224,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Medicine; Maternal death; Public health; Population; Confidentiality; Cause of death; Haemolytic disease; Developing country; Medical emergency; Family medicine; Comparability; Pediatrics; Disease; Environmental health; Pregnancy; Nursing; Economic growth; Political science; Pathology","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":[0.00745259,0.001224379,0.001354991,0.01696802,0.001130498,0.001212704,0.002974374,0.001025427,0.01443062],"category_scores_gemma":[0.02707256,0.0003799222,0.002117231,0.01093546,0.0006823218,0.001803638,0.003010778,0.001851257,0.003909313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003394294,"about_ca_system_score_gemma":0.006445216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382266,"about_ca_topic_score_gemma":0.02442861,"domain_scores_codex":[0.9893197,0.001977722,0.003312076,0.0008625226,0.003664709,0.0008632245],"domain_scores_gemma":[0.9827497,0.001842009,0.006112363,0.0009622725,0.007551353,0.0007823067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000377813,0.00003849134,0.1196008,0.009953203,0.0004060045,0.0003134391,0.002269985,0.001581647,0.0002019899,0.02289776,0.7147967,0.1275622],"study_design_scores_gemma":[0.0001626478,0.000231489,0.317761,0.02062802,0.0003535076,0.001827919,0.00389535,0.002185522,0.0003474635,0.01704719,0.6353475,0.0002123305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"editorial","genre_scores_codex":[0.03317358,0.06204399,0.0172966,0.0121259,0.006034648,0.009548437,0.7232727,0.000985077,0.135519],"genre_scores_gemma":[0.1890883,0.05623824,0.0453886,0.005573502,0.001663515,0.02361751,0.6596348,0.0004498714,0.01834561],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03382266,"threshold_uncertainty_score":0.06725156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220407684151667,"score_gpt":0.2925455192617731,"score_spread":0.2803414424202564,"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."}}