{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00183624,0.0001977441,0.0007736491,0.0001883689,0.0002387155,0.00004650414,0.0005255137,0.00009526615,0.003466481],"category_scores_gemma":[0.001067294,0.0001979106,0.00006199109,0.0001175832,0.00007402318,0.0003739561,0.0001532258,0.0001074457,0.003917216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689184,"about_ca_system_score_gemma":0.001079773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7085704,"about_ca_topic_score_gemma":0.5711192,"domain_scores_codex":[0.9955221,0.0003134057,0.002514035,0.0008886168,0.000102944,0.0006588294],"domain_scores_gemma":[0.9957703,0.0006271473,0.001419193,0.001407356,0.00008358596,0.0006924692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002113026,0.0001126163,0.4549235,0.000144949,0.0001378711,0.000001991706,0.005066468,0.00001670901,0.00000216736,0.00537473,0.5202807,0.01391725],"study_design_scores_gemma":[0.0008283766,0.00005119337,0.2258183,0.0002724131,0.000004426485,5.608047e-7,0.0008522075,0.002298777,0.000004134519,0.00401062,0.7654995,0.0003595228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028701,0.01245402,0.001544041,0.2175,0.002850634,0.001749802,0.05890984,0.00009043805,0.002031124],"genre_scores_gemma":[0.9654191,0.0005556511,0.001025816,0.03179035,0.0003344952,0.00005942017,0.0005536838,0.00003565882,0.0002257993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.262549,"threshold_uncertainty_score":0.9974445,"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."}}