{"id":"W3041127941","doi":"10.5935/0103-507x.20200039","title":"Guidelines for the pharmacological treatment of COVID-19. The task force/consensus guideline of the Brazilian Association of Intensive Care Medicine, the Brazilian Society of Infectious Diseases and the Brazilian Society of Pulmonology and Tisiology","year":2020,"lang":"en","type":"article","venue":"Revista Brasileira de Terapia Intensiva","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Azithromycin; Tocilizumab; Context (archaeology); Intensive care medicine; Hydroxychloroquine; Pulmonology; Guideline; Oseltamivir; Ritonavir; Lopinavir; Clinical trial; MEDLINE; Family medicine; Coronavirus disease 2019 (COVID-19); Internal medicine; Antibiotics; Human immunodeficiency virus (HIV); Infectious disease (medical specialty); Pathology; Viral load","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001721874,0.0003737946,0.001663371,0.00004195959,0.0003290039,0.00001230119,0.0005223857,0.0002333949,0.00003860583],"category_scores_gemma":[0.1019447,0.0001412579,0.00101571,0.0004635502,0.005656263,0.00002877915,0.0004486531,0.000413589,2.112457e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389828,"about_ca_system_score_gemma":0.0006628731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009795589,"about_ca_topic_score_gemma":0.00008403681,"domain_scores_codex":[0.9958776,0.0008337993,0.001877682,0.0004827262,0.0005230936,0.0004050758],"domain_scores_gemma":[0.9592142,0.03043142,0.001701779,0.0007613372,0.00768873,0.0002025672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005968121,0.0003192996,0.5967951,0.004788294,0.007737576,0.000007231014,0.03219732,0.0002622037,0.02987392,0.001593714,0.3073109,0.01314627],"study_design_scores_gemma":[0.04150112,0.01398835,0.6705483,0.001527851,0.01278199,0.0001037151,0.1143339,0.03529853,0.004583504,0.002612086,0.101966,0.0007547159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064566,0.01675682,0.0008938232,0.4704732,0.0001848786,0.004529878,0.0006585958,0.00003261347,0.00001364343],"genre_scores_gemma":[0.9405497,0.009235988,0.0001512282,0.04954023,0.0002756738,0.0001223041,0.00002529235,0.00002569692,0.0000739266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4340931,"threshold_uncertainty_score":0.9970497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07326331449414783,"score_gpt":0.4291850781241798,"score_spread":0.355921763630032,"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."}}