{"id":"W4396743464","doi":"10.47820/recima21.v5i5.5199","title":"ANÁLISE DO PERFIL EPIDEMIOLÓGICO DA DENGUE NA REGIÃO SUDESTE DO BRASIL: COMPARAÇÃO ENTRE O PRIMEIRO BIMESTRE DE 2023 E 2024","year":2024,"lang":"pt","type":"article","venue":"RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Dengue fever; Epidemiology; Geography; Virology; Medicine; Archaeology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003994129,0.002813864,0.004019801,0.001288673,0.001429747,0.002781011,0.00226989,0.001328646,0.01195026],"category_scores_gemma":[0.002122458,0.002543085,0.002868488,0.003847858,0.0009511925,0.0008405638,0.001511442,0.00325321,0.005682599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116209,"about_ca_system_score_gemma":0.002861649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001934124,"about_ca_topic_score_gemma":0.00004798123,"domain_scores_codex":[0.9825259,0.001809682,0.003789024,0.005194091,0.002552332,0.004128969],"domain_scores_gemma":[0.9877254,0.002157362,0.001154311,0.004627607,0.0008063924,0.003528914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004304567,0.007266492,0.1083969,0.02038664,0.004729595,0.01164554,0.01565094,0.0007903607,0.01284602,0.01225777,0.7082819,0.09344333],"study_design_scores_gemma":[0.01145555,0.001859113,0.06077905,0.0349952,0.009964413,0.001088526,0.01545363,0.1123889,0.0006001107,0.0002819432,0.7453278,0.005805834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5683923,0.3903292,0.001336956,0.008845142,0.00775632,0.007849432,0.005210972,0.001287812,0.008991865],"genre_scores_gemma":[0.9193009,0.008008797,0.0007025316,0.0004738284,0.00401135,0.0004509047,0.001319332,0.0006563392,0.06507609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3823203,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253058240985922,"score_gpt":0.3394041899740269,"score_spread":0.3068736075641676,"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."}}