{"id":"W2766282377","doi":"10.1017/s0021932017000505","title":"WOMEN’S EDUCATION AND UTILIZATION OF MATERNAL HEALTH SERVICES IN AFRICA: A MULTI-COUNTRY AND SOCIOECONOMIC STATUS ANALYSIS","year":2017,"lang":"en","type":"article","venue":"Journal of Biosocial Science","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Socioeconomic status; Developing country; Environmental health; Socioeconomics; Health services; Geography; Maternal health; Economic growth; Demography; Medicine; Population; Sociology; Economics","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":[0.001818766,0.000374009,0.0005481623,0.00287,0.0006066681,0.0008752708,0.0003369075,0.0003189374,0.001957457],"category_scores_gemma":[0.002500036,0.0003323818,0.001695513,0.00418904,0.0003608376,0.0006147789,0.001150507,0.0003771767,0.0002086019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869554,"about_ca_system_score_gemma":0.0003695953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009788317,"about_ca_topic_score_gemma":0.007909809,"domain_scores_codex":[0.9992123,0.0003689369,0.00009545702,0.00007767206,0.0001020571,0.0001436593],"domain_scores_gemma":[0.9988452,0.0003977908,0.0004350181,0.0000644933,0.0001064112,0.0001510288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005365366,0.00002020475,0.9979416,0.00001982268,0.0002006041,0.0001039391,0.0002549086,0.00007174595,0.00007675417,0.00003550788,0.00005949973,0.001161782],"study_design_scores_gemma":[0.000003130834,0.00006897709,0.9980578,0.00001961646,0.00008941643,0.0001238092,0.0009713548,0.0003977778,0.00003348741,0.00002532506,0.0002040605,0.000005259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986456,0.0003660342,0.0000950092,0.0000443498,0.000004735465,0.00001039235,0.0004905043,0.000001754917,0.0003417066],"genre_scores_gemma":[0.9993631,0.0001900941,0.0001113786,0.0000082126,0.000004390183,0.00001461357,0.0002139504,0.000001171253,0.00009306154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009788317,"threshold_uncertainty_score":0.01946265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989612218479157,"score_gpt":0.3403527835389621,"score_spread":0.3204566613541706,"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."}}