{"id":"W4381296299","doi":"10.29327/vi-cisu-ii-sips.625906","title":"PERFIL DOS PACIENTES COM COMORBIDADES DA SÍNDROME DO COVID LONGO EM UM HOSPITAL MUNICIPAL DE NITERÓI","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":"Geomechanica (Canada)","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002460909,0.0008535268,0.0009186333,0.0009245931,0.001004241,0.001926049,0.003893396,0.000549285,0.0004805383],"category_scores_gemma":[0.000674444,0.000864153,0.0003986505,0.003390251,0.0004612358,0.0009020775,0.0027298,0.001310647,0.004152262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000953107,"about_ca_system_score_gemma":0.001536258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564072,"about_ca_topic_score_gemma":0.000453762,"domain_scores_codex":[0.991803,0.0009046174,0.00117683,0.001886534,0.001436348,0.002792663],"domain_scores_gemma":[0.9937478,0.001421487,0.0003519075,0.0025916,0.0003081267,0.001579087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001601242,0.001722013,0.5601249,0.003350554,0.0006011214,0.005824659,0.2971317,0.002554051,0.001695383,0.01755371,0.07031544,0.03896635],"study_design_scores_gemma":[0.005784551,0.003597046,0.1869748,0.001686738,0.0001626121,0.0009397073,0.02362826,0.6954623,0.001159605,0.002316134,0.07346936,0.004818942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647027,0.0006028871,0.01324073,0.0155279,0.002387533,0.0009766425,0.0001637129,0.001975974,0.0004219291],"genre_scores_gemma":[0.9849659,0.000201959,0.001437309,0.004338919,0.0003266125,0.00008451424,0.00005708554,0.0001066177,0.008481126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6929082,"threshold_uncertainty_score":0.9993809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05074245835465926,"score_gpt":0.3379604396292476,"score_spread":0.2872179812745884,"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."}}