{"id":"W2103261924","doi":"10.1017/s0021932013000126","title":"THE IMPORTANCE OF PUBLIC SECTOR HEALTH FACILITY-LEVEL DATA FOR MONITORING CHANGES IN MATERNAL MORTALITY RISKS AMONG COMMUNITIES: THE CASE OF PAKISTAN","year":2013,"lang":"en","type":"article","venue":"Journal of Biosocial Science","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Health facility; Medicine; Case fatality rate; Environmental health; Public health; Pregnancy; Standardized mortality ratio; Public sector; Medical emergency; Demography; Population; Health services; 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":[0.005495489,0.0002779183,0.0003640311,0.002218026,0.001301251,0.001843081,0.0009216953,0.0007094449,0.001037648],"category_scores_gemma":[0.01722657,0.0002830955,0.0003186612,0.0034598,0.0007787832,0.002120447,0.001692463,0.001032495,0.00009987677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754161,"about_ca_system_score_gemma":0.004472898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1657206,"about_ca_topic_score_gemma":0.1437149,"domain_scores_codex":[0.9969602,0.001444367,0.0002586287,0.00027553,0.0005951607,0.000466227],"domain_scores_gemma":[0.9810079,0.006744908,0.005179644,0.001946134,0.004333824,0.0007876217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007525501,0.0000604367,0.9473816,0.0002492185,0.00007564168,0.002544883,0.003085954,0.002011214,0.0004366841,0.001456656,0.001235508,0.04138692],"study_design_scores_gemma":[0.0000255383,0.0002563587,0.9563872,0.0004075449,0.00009457443,0.002580483,0.02033742,0.005759642,0.0007982302,0.002121037,0.01114685,0.00008511865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627095,0.001578428,0.00704483,0.007829957,0.00008743093,0.0004200132,0.004235633,0.00005442312,0.01603978],"genre_scores_gemma":[0.9933065,0.0005988833,0.005252887,0.0001694964,0.00002283726,0.00006565805,0.0003870937,0.000003893464,0.0001929109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657206,"threshold_uncertainty_score":0.3295121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2474830450648735,"score_gpt":0.4383219526871412,"score_spread":0.1908389076222677,"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."}}