{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007474797,0.0002559914,0.0005379842,0.0001782345,0.0005196543,0.00002824916,0.0005795588,0.00008101064,0.0008846671],"category_scores_gemma":[0.00006549882,0.0003529314,0.0002778072,0.0001230488,0.0004243066,0.0003109436,0.0005219066,0.0003763947,0.0001456093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034179,"about_ca_system_score_gemma":0.00009341555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007883009,"about_ca_topic_score_gemma":0.002513962,"domain_scores_codex":[0.9981974,0.00007667275,0.0004767872,0.0006616594,0.0001090896,0.000478426],"domain_scores_gemma":[0.9984816,0.00008658807,0.0004376259,0.0006322149,0.00002253983,0.0003394874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006828027,0.001614412,0.7912543,0.0003986354,0.0009361809,0.00003536821,0.1405292,0.004683134,0.01176369,0.02026469,0.003754119,0.02408344],"study_design_scores_gemma":[0.002411921,0.0005064837,0.816992,0.0001101368,0.00004014969,0.0000177127,0.007993605,0.1166613,0.0003159894,0.008305966,0.0455636,0.001081132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835202,0.0002312135,0.006835436,0.0008283028,0.0001890966,0.0004059898,0.0006538626,0.0000413957,0.007294556],"genre_scores_gemma":[0.9598345,0.0001285954,0.03819863,0.0001712414,0.00003741536,0.000001230428,0.00008251138,0.00003197541,0.001513969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325356,"threshold_uncertainty_score":0.9998923,"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."}}