{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02112322,0.0002337004,0.0006364227,0.000403857,0.005517991,0.0005111734,0.0005390514,0.0001941048,0.000009913522],"category_scores_gemma":[0.0003143019,0.0001506851,0.00007050604,0.0002849163,0.000671491,0.0002601383,0.0004913104,0.001044349,0.000002519303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418011,"about_ca_system_score_gemma":0.0004500205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1245002,"about_ca_topic_score_gemma":0.03956458,"domain_scores_codex":[0.9956377,0.001741238,0.001001594,0.000494726,0.0003024305,0.0008223374],"domain_scores_gemma":[0.9970073,0.001345706,0.0005433368,0.0005929981,0.00009803261,0.0004126793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001417077,0.00003298753,0.9294541,0.004977876,0.00003109541,4.360791e-7,0.06185782,0.000003710185,0.000003386607,0.002423807,0.00001311524,0.001059933],"study_design_scores_gemma":[0.0005908802,0.0006632207,0.9344531,0.0002555055,4.277013e-7,7.970526e-7,0.06101599,0.00008788778,0.000001607282,0.002264841,0.0005488914,0.0001167989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906957,0.003129902,0.000008088961,0.003954288,0.0002448162,0.001693989,0.00008451006,0.00001182112,0.0001769234],"genre_scores_gemma":[0.9976344,0.001353042,0.00002523358,0.0006969662,0.00008804294,0.0001483483,0.000005946605,0.00002142332,0.00002664879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08493566,"threshold_uncertainty_score":0.9957767,"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."}}