{"id":"W2405193268","doi":"10.1097/mlr.0000000000000447","title":"A Time Trade-off-derived Value Set of the EQ-5D-5L for Canada","year":2015,"lang":"en","type":"article","venue":"Medical Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":485,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Alberta; St. Joseph’s Healthcare Hamilton; University of British Columbia; Hospital for Sick Children; Institute for Clinical Evaluative Sciences; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"EQ-5D; Censoring (clinical trials); Socioeconomic status; Population; Statistics; Time-trade-off; Dimension (graph theory); Demographics; Demography; Mathematics; Econometrics; Medicine; Quality of life (healthcare); Environmental health","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":[0.006574279,0.0006866954,0.0004858505,0.003823125,0.001818347,0.00245935,0.001802396,0.0004194879,0.007095579],"category_scores_gemma":[0.02692487,0.0003109928,0.001954681,0.005129507,0.0006393821,0.000746663,0.00145133,0.001115725,0.0006275492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03886627,"about_ca_system_score_gemma":0.04232791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.846182,"about_ca_topic_score_gemma":0.8856493,"domain_scores_codex":[0.9956747,0.00140297,0.0003264398,0.0002912946,0.001941747,0.0003628846],"domain_scores_gemma":[0.9864801,0.003502981,0.0008019065,0.0006270451,0.008202928,0.000385154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001294221,0.0004076917,0.285351,0.002113744,0.0005958965,0.0004702524,0.003858104,0.06209051,0.002321199,0.05600215,0.08794578,0.4975494],"study_design_scores_gemma":[0.0004133943,0.0007463335,0.5682333,0.002015987,0.0004915274,0.000517452,0.006458055,0.2194053,0.004645992,0.04372856,0.1528226,0.0005215716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4885357,0.002477441,0.2526433,0.003496725,0.0002556687,0.006893253,0.152267,0.001140141,0.09229072],"genre_scores_gemma":[0.7009417,0.0009131219,0.2422372,0.000326246,0.00002702912,0.004987338,0.04595086,0.0001896392,0.00442693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153818,"threshold_uncertainty_score":0.3094476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2760068157768919,"score_gpt":0.3783320079101588,"score_spread":0.1023251921332669,"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."}}