{"id":"W2155719587","doi":"10.1590/s1415-790x2013000400009","title":"Brazilian normative data for the Short Form 36 questionnaire, version 2","year":2013,"lang":"en","type":"article","venue":"Revista Brasileira de Epidemiologia","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Vitality; Normative; Psychological intervention; Quality of life (healthcare); Gerontology; Population; Inequality; Demography; SF-36; Medicine; Psychology; Health related quality of life; Environmental health; Sociology; Political science; Psychiatry; Disease; Theology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006511009,0.0007841707,0.0008495787,0.005166839,0.0009658005,0.0008280531,0.0008438179,0.0006482086,0.006586527],"category_scores_gemma":[0.02745615,0.0003200053,0.0009174594,0.004862569,0.0004531535,0.000508725,0.00082031,0.0008565501,0.001847008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578754,"about_ca_system_score_gemma":0.002975123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0452843,"about_ca_topic_score_gemma":0.04155078,"domain_scores_codex":[0.9937272,0.001616556,0.001405664,0.0005960392,0.002332594,0.0003219371],"domain_scores_gemma":[0.9889308,0.002226371,0.00151253,0.0009366932,0.006079087,0.0003145852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000663022,0.0006385123,0.4944419,0.00226084,0.000487159,0.0006475486,0.00314396,0.001231362,0.002736889,0.009658545,0.161704,0.3223864],"study_design_scores_gemma":[0.0001720724,0.0002643318,0.7559682,0.001758397,0.0002030169,0.001699133,0.001523132,0.001008969,0.0008757866,0.004016731,0.2324111,0.00009916507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3141551,0.02124197,0.05493684,0.005114183,0.001770709,0.009975303,0.4282019,0.001460796,0.1631431],"genre_scores_gemma":[0.54428,0.008535046,0.07235471,0.002004799,0.0002786882,0.02943864,0.332594,0.0005027584,0.0100114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0452843,"threshold_uncertainty_score":0.09004146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09001903594758541,"score_gpt":0.3995952673302304,"score_spread":0.309576231382645,"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."}}