{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003679879,0.0002683311,0.0004786907,0.0006107212,0.001107403,0.0008555077,0.0003653228,0.0006685688,0.001914825],"category_scores_gemma":[0.002291325,0.000266455,0.0004085028,0.0008791094,0.0003454769,0.0005848968,0.0008357124,0.0007320518,0.0002930933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244055,"about_ca_system_score_gemma":0.001045248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03695852,"about_ca_topic_score_gemma":0.05155506,"domain_scores_codex":[0.9993967,0.0001206662,0.00006492321,0.00009922075,0.00007953565,0.0002389393],"domain_scores_gemma":[0.9986266,0.0001986707,0.0004855348,0.00002680405,0.0001874397,0.0004749264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001290663,0.00006767453,0.9973731,0.00002232723,0.00001888994,0.0003208412,0.0006133802,0.00003000488,0.00008590498,0.00002480031,0.0003059465,0.001008041],"study_design_scores_gemma":[0.00001093663,0.0002763373,0.9932795,0.00004629806,0.0000234062,0.0004312052,0.005440926,0.0001125692,0.00003829356,0.00002440761,0.0003024558,0.00001366028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985476,0.0002395953,0.00002453406,0.0001504801,0.00001001032,0.00001228047,0.0004135504,0.000001775021,0.000600145],"genre_scores_gemma":[0.9986771,0.0002834171,0.00004806693,0.0001126715,0.0000180268,0.00001894612,0.0005165159,0.000001333407,0.0003241056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03695852,"threshold_uncertainty_score":0.0734868,"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."}}