{"id":"W4388592714","doi":"10.51161/conbrasp2023/27663","title":"IMPACTOS DA COVID 19 NA ATENÇÃO PRIMÁRIA: ANÁLISE DOS INDICADORES DE SAÚDE DO MUNICÍPIO DE DIAS D’ÁVILA NO PREVINE BRASIL","year":2023,"lang":"pt","type":"article","venue":"","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 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":[0.001139239,0.0002459916,0.0003681422,0.0009564065,0.0006026329,0.001041623,0.0005078236,0.0005421105,0.001747801],"category_scores_gemma":[0.005658272,0.0003087493,0.0005397167,0.001889898,0.0006965183,0.000652898,0.001303243,0.0007216508,0.0001602791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295651,"about_ca_system_score_gemma":0.002312904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1501247,"about_ca_topic_score_gemma":0.1713927,"domain_scores_codex":[0.9987265,0.0004068926,0.0001610427,0.0002071137,0.0002223714,0.0002760021],"domain_scores_gemma":[0.9970765,0.0005713392,0.001238891,0.0002012074,0.0005101205,0.0004019331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000621263,0.0000191735,0.9914832,0.0001094425,0.00006869367,0.0001140633,0.002444574,0.00007930615,0.000290611,0.0002201716,0.0003054315,0.004803191],"study_design_scores_gemma":[0.000001915972,0.0000719111,0.9948249,0.0001026772,0.00004623833,0.0001190681,0.003508445,0.0001697766,0.0001241608,0.00007695485,0.0009472232,0.000006741686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936726,0.001144194,0.0002768846,0.0007160909,0.00001453408,0.00003629346,0.001888839,0.00001264505,0.002237884],"genre_scores_gemma":[0.9987051,0.0005065682,0.0001976297,0.00005583867,0.000006609121,0.00001591873,0.0002753857,0.00000277697,0.0002340922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501247,"threshold_uncertainty_score":0.2985017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06709942250809017,"score_gpt":0.3728348650959153,"score_spread":0.3057354425878251,"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."}}