{"id":"W2509851264","doi":"10.1007/s40271-016-0190-z","title":"EQ-5D Health Utility Scores: Data from a Comprehensive Canadian Cancer Centre","year":2016,"lang":"en","type":"article","venue":"Patient","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Cancer Care Ontario; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre","funders":"Cancer Care Ontario","keywords":"Medicine; Cancer; Ambulatory; Visual analogue scale; Construct validity; Linear regression; Internal medicine; EQ-5D; Disease; Demography; Physical therapy; Psychometrics; Clinical psychology; Statistics; Health related quality of life","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":[0.002171861,0.001062282,0.001304453,0.005263832,0.002322694,0.001660643,0.002377525,0.0008455052,0.006216442],"category_scores_gemma":[0.0125713,0.0005994353,0.001734803,0.02276421,0.0005715704,0.000746414,0.001428731,0.001590185,0.002205535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03889046,"about_ca_system_score_gemma":0.0492083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925506,"about_ca_topic_score_gemma":0.9933269,"domain_scores_codex":[0.9954758,0.0003315143,0.0003991487,0.0003324854,0.002719275,0.0007417008],"domain_scores_gemma":[0.9874133,0.000933423,0.001431711,0.0003711148,0.00862913,0.001221331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007514714,0.0002535605,0.8023245,0.0007114395,0.0005515525,0.0002517721,0.0007634466,0.002975857,0.0001539114,0.0006058298,0.1602462,0.03041047],"study_design_scores_gemma":[0.00006939966,0.00003932147,0.9862536,0.00008646784,0.0001031895,0.00008279629,0.0002942102,0.0004911676,0.00007540802,0.00006147185,0.01239084,0.00005227273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2707438,0.001949473,0.0004245114,0.001190995,0.0000395243,0.000495832,0.7095903,0.0001017054,0.01546387],"genre_scores_gemma":[0.47137,0.002258677,0.001717834,0.0007571769,0.00005092536,0.0006346065,0.5152704,0.0001018634,0.007838508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03889046,"threshold_uncertainty_score":0.2821714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6802831660851341,"score_gpt":0.4354283333268225,"score_spread":0.2448548327583115,"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."}}