{"id":"W3024811485","doi":"10.1164/rccm.202004-1385ed","title":"Mechanical Ventilation in COVID-19: Interpreting the Current Epidemiology","year":2020,"lang":"en","type":"editorial","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":241,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute on Drug Abuse; National Heart, Lung, and Blood Institute","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mechanical ventilation; Epidemiology; Betacoronavirus; Current (fluid); Coronavirus Infections; Intensive care medicine; MEDLINE; Virology; Pathology; Outbreak; Internal medicine; Infectious disease (medical specialty); Disease","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":[0.03543054,0.005447048,0.008069076,0.008262141,0.004567456,0.01501318,0.006375059,0.02553459,0.01126263],"category_scores_gemma":[0.1032843,0.002825532,0.004557279,0.004046895,0.004156591,0.008003092,0.003260162,0.02901133,0.008047145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005324252,"about_ca_system_score_gemma":0.007332143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165502,"about_ca_topic_score_gemma":0.0127106,"domain_scores_codex":[0.9819633,0.004996822,0.003957464,0.001692398,0.00649811,0.0008919882],"domain_scores_gemma":[0.8568068,0.08116846,0.006523524,0.002541496,0.04271443,0.01024522],"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":[0.00006608706,0.00001729895,0.000147299,0.0005809857,0.00008878588,0.0001054178,0.0000269456,0.00002930565,0.00003134703,0.0003029695,0.9930083,0.00559531],"study_design_scores_gemma":[0.0004020584,0.0001019645,0.001676334,0.005117628,0.0008354331,0.0005395361,0.0002513187,0.0007553006,0.0001833807,0.003528598,0.9864846,0.0001238818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002529723,0.004257916,0.0001128266,0.03032634,0.9647701,0.00001594944,0.00006902005,0.00002822519,0.000394271],"genre_scores_gemma":[0.000172877,0.002140661,0.00009602124,0.01203466,0.9846647,0.00001647411,0.00002411938,0.0000178743,0.0008324644],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03543054,"threshold_uncertainty_score":0.1873768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619177054600463,"score_gpt":0.4115907986278221,"score_spread":0.3653990280818174,"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."}}