{"id":"W2279704636","doi":"10.1007/s11136-015-1203-4","title":"Determinants of time trade-off valuations for EQ-5D-5L health states: data from the Canadian EQ-5D-5L valuation study","year":2015,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Institute for Clinical Evaluative Sciences; Hamilton Health Sciences; SickKids Foundation; St. Joseph’s Healthcare Hamilton; Hospital for Sick Children; University of British Columbia; Université de Montréal; University of Alberta","funders":"Canadian Institutes of Health Research; EuroQol Research Foundation","keywords":"EQ-5D; Time-trade-off; Quality of Life Research; Valuation (finance); Public health; Health economics; Actuarial science; Medicine; Health related quality of life; Economics; MEDLINE; Quality of life (healthcare); Political science; Finance; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005586318,0.0003485551,0.0005430554,0.001797162,0.0006181702,0.001820927,0.001382533,0.0007555464,0.003910763],"category_scores_gemma":[0.03264569,0.0002745727,0.001394296,0.006276796,0.0006960465,0.001121332,0.0008327878,0.001788823,0.0003775031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009393144,"about_ca_system_score_gemma":0.007067321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9115897,"about_ca_topic_score_gemma":0.9195772,"domain_scores_codex":[0.9971718,0.000618519,0.0002365999,0.0003015658,0.001053057,0.0006184701],"domain_scores_gemma":[0.9753332,0.01102479,0.00579165,0.00144627,0.004994576,0.001409451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005078895,0.00007877169,0.9746107,0.00006620998,0.0002793506,0.00006992235,0.0005686444,0.003505242,0.00008708046,0.003304694,0.007196914,0.009724627],"study_design_scores_gemma":[0.00001740275,0.00001987496,0.9936914,0.00004070866,0.00004458334,0.00002943187,0.0003623587,0.00297417,0.00004106238,0.0004523494,0.002303753,0.00002280989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163808,0.00252469,0.001100437,0.001981361,0.0000366063,0.00009030524,0.0702748,0.00003179601,0.007579206],"genre_scores_gemma":[0.9755892,0.000425687,0.0003531156,0.00007862048,0.000008959011,0.0000277941,0.02245845,0.00001418306,0.001043975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08841032,"threshold_uncertainty_score":0.1778619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8691383612493131,"score_gpt":0.5713704812364032,"score_spread":0.2977678800129099,"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."}}