{"id":"W2160204814","doi":"10.1016/j.socscimed.2011.03.036","title":"Understanding the effect of disease adaptation information on general population values for hypothetical health states","year":2011,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Canadian Centre for Applied Research in Cancer Control","funders":"","keywords":"Population; Adaptation (eye); Medicine; Disease; Multivariate statistics; Rheumatoid arthritis; Demography; Gerontology; Psychology; Statistics; Environmental health; Sociology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01895398,0.0005255345,0.0009656188,0.000810816,0.0004013503,0.002220023,0.001207558,0.002006371,0.005834673],"category_scores_gemma":[0.1214101,0.0005230936,0.001234128,0.00106798,0.001420541,0.003781834,0.001129644,0.002620915,0.0002374858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853849,"about_ca_system_score_gemma":0.000873972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139144,"about_ca_topic_score_gemma":0.007832416,"domain_scores_codex":[0.9937436,0.004891554,0.0001494625,0.0006788576,0.0002620981,0.0002744813],"domain_scores_gemma":[0.7660311,0.2245836,0.003248831,0.004174113,0.001288838,0.0006734002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00506877,0.0009963562,0.1162786,0.0003809645,0.0008776572,0.0004745699,0.0008755405,0.7370278,0.001936126,0.07242109,0.002239673,0.06142277],"study_design_scores_gemma":[0.0003466563,0.001044866,0.09037358,0.00008033628,0.0005753842,0.0002248204,0.0004363006,0.7991724,0.00169729,0.1049341,0.001012607,0.0001016691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497634,0.0004861836,0.03806994,0.003138209,0.00004200561,0.0001426439,0.001064555,0.0001007872,0.007192322],"genre_scores_gemma":[0.9946061,0.0001396411,0.004193454,0.0002340888,0.00001998918,0.0000290522,0.000255973,0.000008744159,0.0005129633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01895398,"threshold_uncertainty_score":0.1002394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4981200078853971,"score_gpt":0.4543824443466022,"score_spread":0.04373756353879493,"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."}}