{"id":"W2132951963","doi":"10.1378/chest.14-0734","title":"Surge Capacity Logistics","year":2014,"lang":"en","type":"review","venue":"CHEST Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Armed Forces; Mount Sinai Hospital; Sunny Hill Health Centre for Children; University of British Columbia","funders":"U.S. Public Health Service; Centers for Disease Control and Prevention; U.S. Department of Health and Human Services","keywords":"Surge Capacity; Staffing; Medicine; Delphi method; Government (linguistics); Observational study; Scale (ratio); Process management; Operations management; Business; Nursing; Computer science; Coronavirus disease 2019 (COVID-19); Engineering","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":[0.001344065,0.001052629,0.0008467226,0.004267648,0.0006197648,0.002034491,0.001088212,0.001304161,0.01832358],"category_scores_gemma":[0.004913657,0.0003824375,0.0007693824,0.004734182,0.0007166485,0.002496765,0.001449305,0.00170271,0.00348331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679345,"about_ca_system_score_gemma":0.006926049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00580705,"about_ca_topic_score_gemma":0.01315031,"domain_scores_codex":[0.9992813,0.0001744136,0.0001114088,0.00009184876,0.0002589625,0.00008207361],"domain_scores_gemma":[0.9975267,0.001175553,0.0004889395,0.00006451999,0.0006090699,0.0001351307],"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":[0.00004777545,0.00007248684,0.0005825453,0.02344881,0.00007479095,0.00009171088,0.00006208677,0.0003065309,0.0001245556,0.002474846,0.07425962,0.8984542],"study_design_scores_gemma":[0.00003395895,0.000109571,0.00300171,0.02674666,0.0002179002,0.0005191505,0.000412583,0.0001533046,0.0002147906,0.002022385,0.9665431,0.00002488488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003373781,0.9871758,0.0003814569,0.002044193,0.001103287,0.00004617075,0.000107834,0.00002448759,0.008779389],"genre_scores_gemma":[0.004201105,0.990591,0.0005794225,0.001131904,0.0008057721,0.00004149657,0.0001641254,0.000005287695,0.002479976],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01832358,"threshold_uncertainty_score":0.06129843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.428627208097819,"score_gpt":0.5281550277737419,"score_spread":0.09952781967592295,"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."}}