{"id":"W2020069964","doi":"10.3899/jrheum.110906","title":"Validity of Quality of Life Measurement Tools -- From Generic to Disease-specific","year":2011,"lang":"en","type":"article","venue":"Journal of Rheumatology Supplement","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Abbott Canada; Amgen","keywords":"Medicine; Quality of life (healthcare); Disease; Reliability (semiconductor); Measure (data warehouse); Validity; Perception; Content validity; Quality (philosophy); Health related quality of life; Psychometrics; Clinical psychology; Pathology; Data mining; Psychology; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.084234,0.0006163521,0.00141214,0.004293436,0.0009226868,0.003653299,0.00131057,0.00117774,0.002174118],"category_scores_gemma":[0.2427898,0.0002764901,0.002092682,0.005620471,0.002980139,0.003174576,0.003364808,0.002029052,0.000702303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397467,"about_ca_system_score_gemma":0.003314834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320444,"about_ca_topic_score_gemma":0.002018415,"domain_scores_codex":[0.9068993,0.04553169,0.01429832,0.003171283,0.02851119,0.00158819],"domain_scores_gemma":[0.8306393,0.1105024,0.01758934,0.01128354,0.02865413,0.001331299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000351581,0.0003389082,0.495304,0.002287241,0.001103594,0.0001209059,0.002091714,0.002643552,0.0004646487,0.03742199,0.009182727,0.4486891],"study_design_scores_gemma":[0.0001481788,0.001184153,0.8143025,0.008147133,0.000857941,0.001067114,0.003445053,0.01247634,0.002553805,0.07284631,0.08274844,0.0002230421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4861234,0.05813333,0.2377083,0.0231795,0.003223241,0.007649292,0.01697743,0.0007476024,0.1662578],"genre_scores_gemma":[0.9037139,0.008232333,0.07394542,0.002612234,0.0004738609,0.003955404,0.005376442,0.0001075149,0.001582836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.084234,"threshold_uncertainty_score":0.4454773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6764724963544911,"score_gpt":0.4163466794013774,"score_spread":0.2601258169531137,"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."}}