{"id":"W2133684642","doi":"10.1378/chest.07-2690","title":"Definitive Care for the Critically Ill During a Disaster: A Framework for Optimizing Critical Care Surge Capacity","year":2008,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital","funders":"Centers for Disease Control and Prevention; U.S. Department of Veterans Affairs","keywords":"Surge Capacity; Medicine; Critically ill; Critical illness; Intensive care medicine; Surge; Medical emergency; Coronavirus disease 2019 (COVID-19)","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":[0.02000706,0.001925485,0.001416244,0.005190508,0.008886999,0.01494435,0.007447471,0.007986657,0.004779677],"category_scores_gemma":[0.02272763,0.0009189603,0.001878897,0.001900833,0.01199805,0.007442221,0.01147092,0.00975805,0.0008701095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01748864,"about_ca_system_score_gemma":0.07033527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307593,"about_ca_topic_score_gemma":0.05203281,"domain_scores_codex":[0.9862155,0.007293805,0.001052219,0.0009940565,0.002578119,0.001866292],"domain_scores_gemma":[0.9849958,0.003360006,0.001383992,0.0004408388,0.004168495,0.005650795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001205784,0.0008391669,0.007432522,0.0007919593,0.0002115202,0.0008050042,0.01005577,0.04130237,0.0006739549,0.7434497,0.1028049,0.09151252],"study_design_scores_gemma":[0.0002061191,0.0007994352,0.009054815,0.002231259,0.0002064943,0.0008611312,0.03387875,0.04413371,0.0008630217,0.7548211,0.1525406,0.0004036613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02026394,0.005411203,0.4897762,0.3713596,0.003956709,0.002400586,0.0003941909,0.0006430373,0.1057945],"genre_scores_gemma":[0.4814177,0.003344926,0.492056,0.0125554,0.001605904,0.002273692,0.0003750864,0.0001827503,0.006188515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02307593,"threshold_uncertainty_score":0.1268895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470470411681324,"score_gpt":0.4222781493865684,"score_spread":0.275231108218436,"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."}}