{"id":"W3213553571","doi":"10.1016/j.bja.2021.11.012","title":"Preparing for mass casualty events despite COVID-19","year":2021,"lang":"en","type":"letter","venue":"British Journal of Anaesthesia","topic":"Disaster Response and Management","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Preparedness; Mass Casualty; Coronavirus disease 2019 (COVID-19); Mass-casualty incident; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mass gathering; Medical emergency; Medicine; Political science; Poison control; Suicide prevention; Public health; Virology; Nursing; Law; Outbreak; Infectious disease (medical specialty)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002118547,0.0003031228,0.0008863296,0.0002918186,0.0006284032,0.000093023,0.0006353716,0.0006817279,0.0003158546],"category_scores_gemma":[0.0008932573,0.0003493346,0.0005486204,0.0001652789,0.00004060971,0.0002134374,0.000136128,0.002300274,0.00003828373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054167,"about_ca_system_score_gemma":0.001825519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722261,"about_ca_topic_score_gemma":0.0002189186,"domain_scores_codex":[0.9954729,0.001265124,0.001394084,0.0003876681,0.0006745351,0.000805709],"domain_scores_gemma":[0.9968935,0.0004186924,0.001538506,0.0003702051,0.0004323046,0.0003467825],"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":[0.0001475694,0.00004300383,0.0004470426,0.001581544,0.0002553962,0.01073418,0.0006318139,0.00001094547,0.000003724965,0.00002975923,0.9736508,0.01246421],"study_design_scores_gemma":[0.00153337,0.0002425906,0.0003884405,0.002877511,0.0002709307,0.000914173,0.0009065765,0.000005506627,0.000001201509,0.001060059,0.9914812,0.0003184309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02744258,0.01191854,0.04642212,0.8926539,0.005608747,0.005108705,0.0003888631,0.0001692391,0.01028731],"genre_scores_gemma":[0.001113819,0.002456592,0.004519334,0.9533074,0.005189096,0.0001859549,0.0001725403,0.000170786,0.03288445],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06065354,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0828391925132052,"score_gpt":0.4028500183700422,"score_spread":0.320010825856837,"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."}}