{"id":"W2911588592","doi":"10.1186/s12962-019-0171-x","title":"Willingness to pay for social health insurance and its determinants among public servants in Mekelle City, Northern Ethiopia: a mixed methods study","year":2019,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Addis Ababa University","keywords":"Public health; Health economics; Health administration; Health services research; Medicine; Quality of Life Research; Willingness to pay; Social policy; Public health insurance; Public finance; Social insurance; Social determinants of health; Health policy; Health insurance; Socioeconomics; Environmental health; Economic growth; Health care; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004341033,0.0001788839,0.0006480412,0.0001987186,0.0002844674,0.000069838,0.0001200072,0.0001609026,0.000001386146],"category_scores_gemma":[0.0001532041,0.0001439299,0.0000445662,0.0003383062,0.00002137568,0.0001906713,0.00008202757,0.0001704596,0.000005321139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823301,"about_ca_system_score_gemma":0.00005103506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616455,"about_ca_topic_score_gemma":0.004919756,"domain_scores_codex":[0.9981174,0.0003589125,0.0005499275,0.0005623458,0.00005390419,0.0003575397],"domain_scores_gemma":[0.9991199,0.0001774522,0.0003024651,0.0001663288,0.00009090557,0.0001429152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006044308,0.0001026828,0.8676711,0.000590978,0.00001930134,4.357363e-7,0.003664369,0.00003228982,0.00002449689,0.0002228854,0.000001115718,0.12761],"study_design_scores_gemma":[0.001395521,0.0004064466,0.9935392,0.0001513238,0.000001259595,0.000001458468,0.0009662752,0.001673304,0.00004294514,0.0002557079,0.001361438,0.0002051318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991527,0.0007473054,0.002957396,0.0005706354,0.0003368199,0.003776198,0.00003826062,0.00001873901,0.00002768001],"genre_scores_gemma":[0.9990544,0.00006153873,0.00007229453,0.00009338486,0.00006578343,0.0005493489,0.000008623128,0.00003035397,0.00006424448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274048,"threshold_uncertainty_score":0.5869292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06765609838111322,"score_gpt":0.3558150874047529,"score_spread":0.2881589890236397,"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."}}