{"id":"W2160583019","doi":"","title":"USING A DISCRETE CHOICE EXPERIMENT TO ESTIMATE SOCIETAL HEALTH STATE UTILITY VALUES","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time-trade-off; Task (project management); Scale (ratio); Value (mathematics); Discrete choice; Population; EQ-5D; Econometrics; Actuarial science; Psychology; Statistics; Quality of life (healthcare); Mathematics; Economics; Medicine; MEDLINE; Environmental health; Geography; Political science; Health related quality of life","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":[0.02962783,0.0008695016,0.0008904117,0.0005271256,0.0004903813,0.002470451,0.001117467,0.002131752,0.005658497],"category_scores_gemma":[0.098133,0.0004087567,0.0009859458,0.0006776888,0.001707507,0.002836071,0.001126779,0.002283618,0.0004608422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181433,"about_ca_system_score_gemma":0.0009404397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249145,"about_ca_topic_score_gemma":0.0008773249,"domain_scores_codex":[0.9744508,0.02261019,0.0004926337,0.001120969,0.0009878585,0.0003376163],"domain_scores_gemma":[0.7771586,0.2105096,0.005516042,0.004773113,0.001326951,0.000715669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02746789,0.0251684,0.1037051,0.002232944,0.002720173,0.0007723291,0.006628895,0.2622856,0.01376462,0.3823865,0.004769906,0.1680976],"study_design_scores_gemma":[0.006700565,0.01869728,0.0261898,0.0002388988,0.0004656617,0.0002411008,0.001569369,0.6625698,0.007421795,0.2649916,0.0105049,0.0004091776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480987,0.0002359599,0.2337449,0.001553852,0.0003793282,0.002954185,0.001257293,0.0001483627,0.01162741],"genre_scores_gemma":[0.910477,0.0001198204,0.08323115,0.0004636727,0.00006919003,0.003768883,0.0003695701,0.00001630848,0.001484304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962783,"threshold_uncertainty_score":0.1566888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09744224880514277,"score_gpt":0.283549918751301,"score_spread":0.1861076699461582,"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."}}