{"id":"W2021708092","doi":"10.1177/0272989x06297103","title":"Measuring Health Preferences for Health Utilities Index Mark 3 Health States: A Study of Feasibility and Preference Differences among Ethnic Groups in Singapore","year":2007,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Ethnic group; Preference; Index (typography); Health Utilities Index; Psychology; Environmental health; Medicine; Actuarial science; Demography; MEDLINE; Economics; Statistics; Political science; Computer science; 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":[0.008189169,0.0002884546,0.0003180393,0.0004610146,0.0002669448,0.0004980785,0.0002426142,0.0002623346,0.001226348],"category_scores_gemma":[0.01097623,0.0001873733,0.0007789625,0.0005985059,0.0003902346,0.0004461263,0.0005985757,0.0004823083,0.0002282075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813046,"about_ca_system_score_gemma":0.0004506516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146754,"about_ca_topic_score_gemma":0.003513167,"domain_scores_codex":[0.9969388,0.002047391,0.0003245201,0.000125602,0.0004312936,0.0001324033],"domain_scores_gemma":[0.9950265,0.002329138,0.001437556,0.0003305314,0.0005425315,0.0003337907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005813284,0.0002263902,0.980378,0.0001023187,0.000167834,0.00009409706,0.002915006,0.0001716535,0.0007828387,0.00006546257,0.0002220727,0.01429304],"study_design_scores_gemma":[0.00006441069,0.00177462,0.9926671,0.00004338122,0.00006260677,0.0002434555,0.002648204,0.001413343,0.0004633273,0.00007453687,0.000522794,0.00002215307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992254,0.00005319442,0.0002506902,0.00003854172,0.000002632866,0.00004034356,0.00008488972,0.00000142891,0.0003029448],"genre_scores_gemma":[0.9992678,0.00005473571,0.00041517,0.00002972531,0.000003106811,0.00005646212,0.0001077381,9.37611e-7,0.00006437233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008189169,"threshold_uncertainty_score":0.04330897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6418340745295452,"score_gpt":0.5040753170029215,"score_spread":0.1377587575266237,"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."}}