{"id":"W2114246376","doi":"10.1093/heapol/czt045","title":"Determinants of prenatal care use: evidence from 32 low-income countries across Asia, Sub-Saharan Africa and Latin America","year":2013,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Prenatal care; Poverty; Attendance; Latin Americans; Developing country; Household income; Medicine; Socioeconomics; Demography; Environmental health; Population; Geography; Economic growth; Economics; Political science; Sociology","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":[0.001996303,0.0002815529,0.0003899267,0.001301783,0.0003149153,0.0007538426,0.0004105894,0.0002682835,0.0008485994],"category_scores_gemma":[0.006819435,0.0002560726,0.0006634437,0.003474352,0.0006349089,0.0003995116,0.001054599,0.0004864577,0.00009080577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542131,"about_ca_system_score_gemma":0.0006671062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04072899,"about_ca_topic_score_gemma":0.04049917,"domain_scores_codex":[0.9985726,0.0007407753,0.000149997,0.0001806904,0.0001968316,0.0001591096],"domain_scores_gemma":[0.9930843,0.003034987,0.002625424,0.0003275267,0.0005424147,0.0003853129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003063998,0.0000158786,0.9934857,0.0001393691,0.0002090303,0.00005682014,0.0007469726,0.00008232734,0.00004285415,0.00008103235,0.0001434502,0.004965846],"study_design_scores_gemma":[0.000004190606,0.00002442666,0.9977468,0.0001273494,0.00008391851,0.00004860305,0.00121252,0.00007088434,0.00002500814,0.00003244783,0.000620193,0.000003754412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912107,0.005630546,0.0002240151,0.0003358453,0.00001083868,0.00001582186,0.0009776172,0.000004580999,0.001590049],"genre_scores_gemma":[0.9949928,0.003940783,0.0001556732,0.00007190768,0.000007879852,0.000021506,0.0007185593,0.000002522273,0.0000885131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04072899,"threshold_uncertainty_score":0.08098382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628462222037832,"score_gpt":0.3676471176354263,"score_spread":0.331362495415048,"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."}}