{"id":"W2608166063","doi":"10.1186/s12913-017-2250-z","title":"Barriers and facilitators to enrollment and re-enrollment into the community health funds/Tiba Kwa Kadi (CHF/TIKA) in Tanzania: a cross-sectional inquiry on the effects of socio-demographic factors and social marketing strategies","year":2017,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Medicine; Tanzania; Cross-sectional study; Marital status; Social marketing; Logistic regression; Health administration; Social determinants of health; Public health; Family medicine; Environmental health; Nursing; Socioeconomics; Population; 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":[0.001164967,0.0002018408,0.0002124856,0.0004062269,0.0009866116,0.000757821,0.0005090794,0.000431842,0.003711646],"category_scores_gemma":[0.002943286,0.0002444704,0.0003111526,0.0003818332,0.0005656004,0.0007230599,0.001264191,0.0007489641,0.0001982447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007254795,"about_ca_system_score_gemma":0.00179039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214994,"about_ca_topic_score_gemma":0.04190421,"domain_scores_codex":[0.9991474,0.000282665,0.00005864862,0.00006973556,0.00009263241,0.0003488793],"domain_scores_gemma":[0.9979333,0.0004790729,0.0008901294,0.00004084073,0.0001013712,0.0005554131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007570614,0.0004634627,0.970867,0.000126268,0.00002322741,0.0005016606,0.01737262,0.00003726968,0.0004536911,0.0003058292,0.0007027934,0.009070557],"study_design_scores_gemma":[0.000007010995,0.0001867004,0.964556,0.000174412,0.00002078869,0.0001969321,0.03345587,0.000234206,0.0000874272,0.00009593304,0.0009755791,0.000009203201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990686,0.0001304469,0.00001709742,0.0002782064,0.000003765367,0.00002361518,0.0000446883,0.000001065152,0.0004325665],"genre_scores_gemma":[0.999496,0.0001070393,0.00005023643,0.00006201443,0.000004656204,0.00002089036,0.00002982752,7.352908e-7,0.0002286645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02214994,"threshold_uncertainty_score":0.04404205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09457131479497988,"score_gpt":0.4002692160479777,"score_spread":0.3056979012529978,"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."}}