{"id":"W3087749028","doi":"10.1186/s12955-020-01559-x","title":"Health related quality of life utility weights for economic evaluation through different stages of chronic kidney disease: a systematic literature review","year":2020,"lang":"en","type":"review","venue":"Health and Quality of Life Outcomes","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"MedImmune; AstraZeneca","keywords":"Medicine; Pharmacoeconomics; Kidney disease; Quality of Life Research; Systematic review; MEDLINE; Quality of life (healthcare); Health economics; Outcomes research; Quality-adjusted life year; Population; Intensive care medicine; Cost effectiveness; Physical therapy; Internal medicine; Public health; Alternative medicine; Pathology; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0840269,0.002933519,0.01530264,0.03324907,0.0009229115,0.006697084,0.002925611,0.002358881,0.004063285],"category_scores_gemma":[0.2479884,0.001821163,0.0252054,0.02448851,0.001775867,0.005686856,0.004600921,0.002995219,0.0002835158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01260795,"about_ca_system_score_gemma":0.01353486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006808202,"about_ca_topic_score_gemma":0.01265971,"domain_scores_codex":[0.9114423,0.04473817,0.02651233,0.003342428,0.01286359,0.001101131],"domain_scores_gemma":[0.8253325,0.1383609,0.02304497,0.002542465,0.01001117,0.0007080383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004515723,0.00003178098,0.002789367,0.8712445,0.04233383,0.00004996212,0.0002775032,0.0007110737,0.00005991602,0.001536037,0.001776447,0.07873804],"study_design_scores_gemma":[0.0009970621,0.0003198073,0.009181324,0.8393708,0.1317501,0.000277759,0.0004308904,0.001139546,0.0001627721,0.00411417,0.0121179,0.0001377767],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002304033,0.9887262,0.002398958,0.0007905863,0.0002007088,0.002961647,0.00192008,0.00004122728,0.0006567046],"genre_scores_gemma":[0.1104955,0.8488185,0.01644917,0.001366606,0.0003175669,0.0201669,0.002104546,0.00005363922,0.0002274896],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0840269,"threshold_uncertainty_score":0.4443821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4901665357279381,"score_gpt":0.5196271000512037,"score_spread":0.02946056432326566,"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."}}