{"id":"W4392954203","doi":"10.51168/sjhrafrica.v5i3.1041","title":"COVERAGE AND FACTORS ASSOCIATED WITH HEALTH INSURANCE UTILIZATION AMONG REPRODUCTIVE WOMEN: INSIGHTS FROM TANZANIA DEMOGRAPHIC HEALTH SURVEY 2022. A QUANTITATIVE STUDY.","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Foreign, Commonwealth and Development Office; Ontario Council on Graduate Studies, Council of Ontario Universities; Bill and Melinda Gates Foundation; Irish Aid; UNICEF; United States Agency for International Development","keywords":"Tanzania; Reproductive health; Demography; Logistic regression; Educational attainment; Medicine; Environmental health; Equity (law); Poverty; Socioeconomic status; Odds; Geography; Socioeconomics; Population; Economic growth; Economics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001993752,0.0006029093,0.001898121,0.0008451153,0.0004500189,0.0002145197,0.0001805049,0.0003878784,0.0000370136],"category_scores_gemma":[0.0003494577,0.0004701262,0.00009462934,0.00166712,0.00007013807,0.0004019554,0.00003152515,0.0007515852,0.0000170974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009183065,"about_ca_system_score_gemma":0.0004738796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1673716,"about_ca_topic_score_gemma":0.3397111,"domain_scores_codex":[0.995234,0.0004401483,0.001778601,0.001766404,0.0001775935,0.0006032541],"domain_scores_gemma":[0.9965686,0.0001356785,0.002196985,0.0005173568,0.0002395472,0.0003418819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001175117,0.0003369384,0.9070138,0.0004169671,0.0008778636,0.000004596187,0.08833078,0.000007436842,4.416656e-7,0.001919082,0.0001864496,0.0007881828],"study_design_scores_gemma":[0.0006018786,0.001373253,0.9714739,0.0004780356,0.000003537637,2.359453e-7,0.02332826,0.00008293997,0.000001262357,0.002051761,0.00008975679,0.0005151632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740015,0.01819949,0.00009489674,0.00008136452,0.001452637,0.00230751,0.003341885,0.0001291368,0.0003915875],"genre_scores_gemma":[0.9884357,0.001982308,0.0000108162,0.000100649,0.00005917242,0.0001471152,0.006722263,0.0001276674,0.002414307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1723395,"threshold_uncertainty_score":0.9997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07163485273720294,"score_gpt":0.2966531856360149,"score_spread":0.225018332898812,"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."}}