{"id":"W1951521253","doi":"10.1177/0272989x15599546","title":"Health Condition Impacts in a Nationally Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index","year":2015,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Health Utilities Index; Quality-adjusted life year; EQ-5D; Index (typography); Quality of life (healthcare); Medicine; Gerontology; Visual analogue scale; Cross-sectional study; Statistics; Demography; Scale (ratio); SF-36; Environmental health; Cost effectiveness; Disease; Health related quality of life; Mathematics; Geography; Physical therapy; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06609686,0.0002384637,0.001074292,0.000693607,0.0002494382,0.0001859173,0.0004441331,0.0002908297,0.0009568993],"category_scores_gemma":[0.03157035,0.0002833121,0.0000958923,0.000644378,0.0001451073,0.0005829298,0.00008580815,0.0005193945,0.0004579909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484466,"about_ca_system_score_gemma":0.004158485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00438605,"about_ca_topic_score_gemma":0.005766258,"domain_scores_codex":[0.9899276,0.001800527,0.005678781,0.0009162831,0.001017529,0.0006593061],"domain_scores_gemma":[0.9903811,0.005238893,0.002835034,0.0004105771,0.0002903938,0.0008440322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001954693,0.0002051767,0.9396218,0.00009096919,0.00001952445,0.00000391333,0.0005928736,0.001303091,1.358811e-7,0.003940375,0.05296658,0.001060068],"study_design_scores_gemma":[0.002568098,0.0001936343,0.9441086,0.0003672063,3.498443e-7,0.000007977713,0.0001051024,0.02981191,4.248503e-7,0.02055261,0.002048024,0.0002360712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6656559,0.002152619,0.3050084,0.021938,0.001503753,0.00116859,0.001665501,0.00008919631,0.0008180565],"genre_scores_gemma":[0.9733804,0.00007170905,0.002574108,0.02278067,0.0001981657,0.00006401094,0.0008324669,0.0000325543,0.00006588708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077246,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5486336747817878,"score_gpt":0.5338205859529802,"score_spread":0.01481308882880761,"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."}}