{"id":"W314655775","doi":"","title":"The Effect of Health Status on Willingness to Pay for Morbidity and Mortality Risk Reductions","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; U.S. Environmental Protection Agency","keywords":"Affect (linguistics); Marginal utility; Health care; Population; Economics; Willingness to pay; Public economics; Actuarial science; Environmental health; Medicine; Psychology; Economic growth; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005297358,0.0003039125,0.0005188314,0.0005472612,0.0002662023,0.001538776,0.0005929345,0.00153007,0.0153741],"category_scores_gemma":[0.02427459,0.0003646964,0.001222016,0.0004891556,0.0008790268,0.0009711781,0.000812427,0.001463989,0.0007982723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776509,"about_ca_system_score_gemma":0.0003477842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004816166,"about_ca_topic_score_gemma":0.003297871,"domain_scores_codex":[0.9979462,0.001335252,0.00006229527,0.0001804403,0.0001315571,0.0003441425],"domain_scores_gemma":[0.9624901,0.03241018,0.002085977,0.001052744,0.0003586655,0.001602266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008752462,0.002333685,0.9096675,0.00008897227,0.0009635175,0.000499508,0.0004710396,0.03653266,0.001829708,0.006543003,0.001308639,0.03100923],"study_design_scores_gemma":[0.0003132731,0.001901595,0.9345205,0.00002655186,0.0004439263,0.000267759,0.0006062877,0.0536993,0.0004040719,0.007246329,0.0005189317,0.00005153406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963557,0.0001040761,0.0005919873,0.0005400701,0.00000899772,0.00001650798,0.0003122307,0.000009224994,0.002061201],"genre_scores_gemma":[0.9989717,0.00003200645,0.0001178091,0.00004695563,0.000006637215,0.000008734279,0.0001198761,0.000002236722,0.0006940445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153741,"threshold_uncertainty_score":0.05143148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716991760059613,"score_gpt":0.2417616302830084,"score_spread":0.1945917126824122,"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."}}