{"id":"W2588534074","doi":"10.21115/jbes.v8.n3.p227-233","title":"Health-related quality of life in elderly: a review of the EQ-5D use","year":2016,"lang":"en","type":"review","venue":"Jornal Brasileiro de Economia da Saúde","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Technology Assessment international; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro","keywords":"Medicine; Data extraction; Confounding; Confidence interval; Inclusion and exclusion criteria; MEDLINE; Quality of life (healthcare); Gerontology; Descriptive statistics; Population; Family medicine; Demography; Environmental health; Alternative medicine; Statistics; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.03891248,0.0007607792,0.01177534,0.0007812004,0.0001365566,0.00006893426,0.001534232,0.0007740484,0.00127356],"category_scores_gemma":[0.01691407,0.0006817287,0.001859993,0.0006365802,0.0002937296,0.0006320672,0.0002852679,0.0009472796,0.0009593545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875492,"about_ca_system_score_gemma":0.003858561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005329502,"about_ca_topic_score_gemma":0.0006704071,"domain_scores_codex":[0.968792,0.003768523,0.02514969,0.001174622,0.000182964,0.0009321643],"domain_scores_gemma":[0.9632167,0.006006425,0.02800637,0.002188919,0.0001060477,0.0004756042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005828219,0.0005658463,0.1064363,0.618567,0.001371538,0.000002942228,0.0005173652,0.00002310841,1.992074e-7,0.09324426,0.08424654,0.09496654],"study_design_scores_gemma":[0.001061132,0.0000875247,0.0284255,0.1279471,0.00005950495,0.00002237026,0.00002354754,0.00002380262,1.590339e-7,0.00205489,0.839534,0.0007604433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002808805,0.9794597,0.00005520103,0.009169444,0.0009828511,0.003072141,0.003116889,0.00003168467,0.001303293],"genre_scores_gemma":[0.0004926317,0.9909843,0.0004234551,0.006689155,0.000259083,0.0002957936,0.00008919124,0.0001290176,0.0006373473],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7552875,"threshold_uncertainty_score":0.9998185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5875021964311433,"score_gpt":0.469305788655724,"score_spread":0.1181964077754193,"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."}}