{"id":"W1981445767","doi":"10.1007/s11136-005-4364-8","title":"Utility-based Quality of Life Measures in Alzheimer’s Disease","year":2006,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; Mount Sinai Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Cancer Care Ontario; Ontario Institute for Cancer Research; York University; University of Toronto; University Health Network","funders":"","keywords":"Convergent validity; Health Utilities Index; Ceiling effect; Intraclass correlation; Quality of life (healthcare); Visual analogue scale; EQ-5D; Psychology; Psychometrics; Proxy (statistics); Mood; Clinical psychology; Quality-adjusted life year; Physical therapy; Medicine; Disease; Statistics; Health related quality of life; Cost effectiveness; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01197882,0.0005278785,0.0008034651,0.004506761,0.0002763699,0.001389469,0.0006933414,0.0007036474,0.001134238],"category_scores_gemma":[0.04564509,0.0001695648,0.00102249,0.00462871,0.0007486801,0.001485772,0.001045346,0.001255505,0.0001233181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936749,"about_ca_system_score_gemma":0.0006383325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962609,"about_ca_topic_score_gemma":0.003360054,"domain_scores_codex":[0.9898113,0.00814483,0.0005896084,0.0001825524,0.001086522,0.0001851868],"domain_scores_gemma":[0.9844673,0.009736252,0.003076753,0.0005038236,0.001693842,0.0005220456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003096222,0.001176931,0.5869113,0.002207838,0.003110647,0.0002011053,0.00117165,0.02987964,0.0004018469,0.05288258,0.01206303,0.3068972],"study_design_scores_gemma":[0.0003924288,0.002437007,0.811067,0.001979681,0.001591789,0.0009156686,0.00159492,0.06436224,0.001001624,0.09925196,0.0152142,0.0001912946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8439597,0.08689647,0.04190055,0.005521724,0.0006010027,0.0004630781,0.00795955,0.00007729238,0.01262055],"genre_scores_gemma":[0.9904538,0.003087079,0.004728361,0.0001497261,0.00007597911,0.0001684475,0.001013097,0.000006046947,0.0003174025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197882,"threshold_uncertainty_score":0.0633508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8081699295211524,"score_gpt":0.5672127493926868,"score_spread":0.2409571801284656,"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."}}