{"id":"W6997567585","doi":"","title":"Willingness to pay for health insurance and its associated factors among staff of local authorities in Petaling District, Selangor, 2016","year":2016,"lang":"en","type":"article","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Salary; Contingent valuation; Health insurance; Payment; Health care; Population; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008214924,0.0002509548,0.0002603897,0.0007740931,0.0009010598,0.0006930286,0.0003981877,0.0003952719,0.00337612],"category_scores_gemma":[0.002347612,0.0002899839,0.0003664416,0.0009499114,0.0005731384,0.0004841644,0.0006740755,0.0004641298,0.0003721902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825706,"about_ca_system_score_gemma":0.00117388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01812852,"about_ca_topic_score_gemma":0.02741069,"domain_scores_codex":[0.9994903,0.0001197312,0.00008362273,0.00005662224,0.0001063607,0.00014334],"domain_scores_gemma":[0.9981651,0.0003602679,0.0008433603,0.00006082058,0.000240219,0.0003301796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003900237,0.00009159945,0.9926552,0.00009728631,0.00001681209,0.0002939931,0.003412802,0.00006181972,0.0002340558,0.00004657212,0.0002781106,0.002772809],"study_design_scores_gemma":[0.000003026553,0.0001955948,0.9699783,0.00009208193,0.00001816799,0.0004896415,0.02815,0.0001938733,0.0001023665,0.00005085965,0.0007117227,0.00001435748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994367,0.00009501829,0.00001724195,0.00009434262,0.000001710822,0.000007171532,0.00009361754,8.795082e-7,0.0002533599],"genre_scores_gemma":[0.9993677,0.0001292156,0.00005234376,0.00002822649,0.000002475226,0.00001000149,0.00009817629,5.966966e-7,0.000311315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812852,"threshold_uncertainty_score":0.03604597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219466570410894,"score_gpt":0.2000064129225575,"score_spread":0.1678117472184486,"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."}}