{"id":"W3174252276","doi":"10.1016/j.injury.2021.06.017","title":"How prepared are Canadian trauma centres for mass casualty incidents?","year":2021,"lang":"en","type":"article","venue":"Injury","topic":"Disaster Response and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Mass Casualty; Mass-casualty incident; Medical emergency; Forensic engineering; Medicine; Aeronautics; History; Poison control; Injury prevention; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004247504,0.00073894,0.0004038101,0.003090578,0.01988003,0.01021753,0.003358688,0.004577674,0.02305219],"category_scores_gemma":[0.02680572,0.0006767223,0.001000696,0.005163519,0.005242876,0.00465831,0.003279697,0.005918964,0.002237836],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1631686,"about_ca_system_score_gemma":0.3925458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924607,"about_ca_topic_score_gemma":0.9972376,"domain_scores_codex":[0.9912683,0.0009748474,0.0002845096,0.0003918476,0.001961578,0.005118859],"domain_scores_gemma":[0.9645066,0.001360524,0.002483133,0.0003960211,0.01526056,0.01599306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002169974,0.0002632362,0.2043749,0.001020386,0.0001596214,0.001257425,0.02144945,0.001455251,0.0005170056,0.01856085,0.5789215,0.1718034],"study_design_scores_gemma":[0.00005908318,0.00009307748,0.3372543,0.002515967,0.0001388179,0.0007343704,0.231857,0.0005562892,0.0004581216,0.003917458,0.4220428,0.0003725642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1200105,0.01130507,0.00118142,0.747202,0.004563718,0.0003291056,0.00330646,0.0001977581,0.1119041],"genre_scores_gemma":[0.8838937,0.02002949,0.003444362,0.0556087,0.0009699421,0.0002282044,0.00158702,0.0001682755,0.03407039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1631686,"threshold_uncertainty_score":0.9706059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06414714349083703,"score_gpt":0.4007729029656892,"score_spread":0.3366257594748522,"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."}}