{"id":"W4289263267","doi":"10.56069/2676-0428.2022.163","title":"IMPACTOS DAS POLÍTICAS PÚBLICAS DE SAÚDE PARA OS IDOSOS NO BRASIL","year":2022,"lang":"pt","type":"article","venue":"Revista Científica FESA","topic":"Health, Nursing, Elderly Care","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Political science; Gerontology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005285476,0.0004022303,0.0006843924,0.00609059,0.003143552,0.005756062,0.0005934298,0.001058142,0.004161993],"category_scores_gemma":[0.01569146,0.000391365,0.0007052002,0.008959099,0.003007481,0.001636324,0.002238881,0.001084919,0.0002293545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0151766,"about_ca_system_score_gemma":0.02603292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3800299,"about_ca_topic_score_gemma":0.4560145,"domain_scores_codex":[0.9941992,0.002414624,0.0002696638,0.0004200045,0.002051298,0.0006452434],"domain_scores_gemma":[0.9913642,0.003928629,0.001271179,0.0004692679,0.002263683,0.0007030317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003050594,0.0001758413,0.2550706,0.007706763,0.0003719477,0.001037132,0.05803368,0.002422262,0.001407657,0.229008,0.0215188,0.4229423],"study_design_scores_gemma":[0.0000468463,0.0001700403,0.5497323,0.0102037,0.0009089242,0.0005831803,0.09034041,0.002213104,0.0008260059,0.02403927,0.3208141,0.0001222276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.508652,0.1343375,0.002610512,0.08279692,0.0009633476,0.0002918753,0.00276735,0.0001932742,0.2673873],"genre_scores_gemma":[0.9514399,0.04229895,0.001350481,0.001141971,0.00009704754,0.00005826516,0.0002179047,0.00002298566,0.003372428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3800299,"threshold_uncertainty_score":0.7556357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647911147445727,"score_gpt":0.4297798066674738,"score_spread":0.3633006951930165,"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."}}