{"id":"W2035532978","doi":"10.12927/whp..17486","title":"Modelling the First Two Delays of the \"Three-Delays Model\" for Emergency Obstetric Care in Bangladesh: A Choice Model Approach","year":2013,"lang":"en","type":"article","venue":"World health & population","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pregnancy; Developing country; Medical emergency; Health care; Health facility; Environmental health; Population; Health services; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006442927,0.001679256,0.002204543,0.001296938,0.001327252,0.003999955,0.004186472,0.00552629,0.01270632],"category_scores_gemma":[0.01447766,0.002000979,0.002665177,0.001297871,0.001706543,0.003006745,0.003207698,0.00578869,0.0008525874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006662998,"about_ca_system_score_gemma":0.005688641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07091685,"about_ca_topic_score_gemma":0.03938433,"domain_scores_codex":[0.9970883,0.001786302,0.00008449709,0.0003372999,0.000130021,0.0005735941],"domain_scores_gemma":[0.9841867,0.01332967,0.0008496554,0.000141844,0.0006853018,0.0008068408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002387032,0.0001000933,0.002361672,0.00008731653,0.00009359302,0.000172672,0.0001614586,0.9698818,0.0001296947,0.02342955,0.001024289,0.00231901],"study_design_scores_gemma":[0.00008978209,0.00009884133,0.000608087,0.00003305517,0.00007806922,0.00003285663,0.0001879063,0.9889963,0.00006207208,0.008904642,0.0008659539,0.00004240678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4980771,0.003016504,0.4508778,0.01167011,0.0006667114,0.000950437,0.004580178,0.0003721048,0.02978908],"genre_scores_gemma":[0.943582,0.001240551,0.0302758,0.0004173869,0.0001655371,0.0009894925,0.0007733486,0.0001079677,0.02244793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07091685,"threshold_uncertainty_score":0.1410081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409807973331022,"score_gpt":0.3087982098184519,"score_spread":0.2647001300851416,"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."}}