{"id":"W2013396170","doi":"10.1007/s11136-015-0991-x","title":"Brazilian urban population norms derived from the health-related quality of life SF-6D","year":2015,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quality of life (healthcare); Public health; Population; Psychological intervention; Quality of Life Research; SF-36; Demography; Gerontology; Medicine; Environmental health; Psychology; Health related quality of life; Sociology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1580359,0.0002911172,0.002548214,0.0004620963,0.0004332953,0.00009564596,0.001106064,0.0003768234,0.0005069548],"category_scores_gemma":[0.07027405,0.0002943153,0.0003260364,0.0008884021,0.0005696842,0.0005683955,0.0002693472,0.0007812873,0.0008993314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009170102,"about_ca_system_score_gemma":0.001711939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2658834,"about_ca_topic_score_gemma":0.006858407,"domain_scores_codex":[0.9746891,0.009858198,0.01250014,0.00092432,0.001087561,0.0009407127],"domain_scores_gemma":[0.9797364,0.009693553,0.006725436,0.00194344,0.0008233654,0.001077795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003754002,0.0003739911,0.8578082,0.0008429731,0.0002509928,2.19909e-7,0.01337647,0.0001447333,0.00001910389,0.08831277,0.03816154,0.0003335808],"study_design_scores_gemma":[0.002288074,0.0002357211,0.9358308,0.0001288007,0.00000364812,3.612959e-7,0.009120656,0.0009578703,0.0000131755,0.04756288,0.003506889,0.0003511092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060965,0.006358732,0.0004407924,0.08297116,0.0004400191,0.001308803,0.0009679862,0.00005557695,0.001360469],"genre_scores_gemma":[0.9939828,0.0001249301,0.0009949978,0.003679692,0.0004378978,0.00006682418,0.0003434278,0.00005003426,0.0003193873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.259025,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7557241430304994,"score_gpt":0.5420507135502027,"score_spread":0.2136734294802967,"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."}}