{"id":"W3034038345","doi":"10.1007/s00134-020-06092-5","title":"Managing ICU surge during the COVID-19 crisis: rapid guidelines","year":2020,"lang":"en","type":"review","venue":"Intensive Care Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":399,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; University of Toronto; Impact","funders":"","keywords":"Surge Capacity; Triage; Medicine; Guideline; Coronavirus disease 2019 (COVID-19); Anesthesiology; Crisis management; Intensive care; 2019-20 coronavirus outbreak; Medical emergency; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); MEDLINE; Disaster planning; Intensive care medicine; Poison control; Suicide prevention; Political science; Virology; Outbreak","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":[0.003754165,0.001237959,0.002950741,0.003708694,0.000745306,0.002575226,0.002293371,0.00382187,0.007706149],"category_scores_gemma":[0.010789,0.0005926543,0.00241023,0.002587784,0.0007339267,0.002493774,0.001604718,0.005095635,0.002217843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345574,"about_ca_system_score_gemma":0.01198145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105567,"about_ca_topic_score_gemma":0.03028185,"domain_scores_codex":[0.9986917,0.0003322739,0.0003409623,0.0001369564,0.0003978342,0.0001002188],"domain_scores_gemma":[0.9926043,0.003825419,0.0009563503,0.00009238306,0.002121075,0.0004005732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001149233,0.0001480388,0.0003015777,0.08178623,0.000337876,0.0001306385,0.00009772726,0.0003423694,0.0002100256,0.002283757,0.09739953,0.8168473],"study_design_scores_gemma":[0.0001965967,0.0001862831,0.001959633,0.2509107,0.001551668,0.000430702,0.0002507163,0.000212128,0.0001307194,0.002464876,0.7416443,0.00006164198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004259459,0.9949968,0.0001477189,0.003183787,0.0007844892,0.00003620004,0.00006358681,0.00001190622,0.0007329991],"genre_scores_gemma":[0.0004691392,0.9955149,0.0006815902,0.002467773,0.0004566541,0.00005338148,0.00007449508,0.000003276108,0.0002787034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0105567,"threshold_uncertainty_score":0.0257796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2648250783230144,"score_gpt":0.5215809754338988,"score_spread":0.2567558971108844,"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."}}