{"id":"W2968252520","doi":"10.1136/emermed-2019-208436","title":"Preparation for the next major incident: are we ready? A 12-year update","year":2019,"lang":"en","type":"article","venue":"Emergency Medicine Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Specialty; Emergency department; Confidence interval; Accident and emergency; Quarter (Canadian coin); Medical emergency; Family medicine; Emergency medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008275671,0.001184682,0.002256715,0.006281056,0.001731931,0.005543986,0.002473028,0.005438945,0.01664921],"category_scores_gemma":[0.04658909,0.001278778,0.001064818,0.004689456,0.000979956,0.0115902,0.004455652,0.006861247,0.008688228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004292017,"about_ca_system_score_gemma":0.009498283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882183,"about_ca_topic_score_gemma":0.04472994,"domain_scores_codex":[0.9937463,0.001276369,0.002079683,0.0003576266,0.001858491,0.0006815989],"domain_scores_gemma":[0.9479094,0.01026376,0.006381203,0.0009852763,0.02513302,0.009327257],"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":[0.00009470205,0.0002610527,0.009663097,0.002884138,0.00004296131,0.0003221699,0.0004537586,0.0001093203,0.00005580786,0.0003023081,0.6096696,0.3761412],"study_design_scores_gemma":[0.0001062831,0.0004020381,0.05425506,0.03460988,0.0001732986,0.002234097,0.003538614,0.000423835,0.0001433187,0.0007461392,0.9032235,0.0001438342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01239993,0.4348192,0.00241381,0.4450136,0.0699536,0.0006833068,0.007960858,0.001448378,0.02530723],"genre_scores_gemma":[0.04574801,0.7996681,0.00728536,0.07584833,0.03757324,0.001192793,0.01519959,0.0003376429,0.01714691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01882183,"threshold_uncertainty_score":0.0556972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351837848340336,"score_gpt":0.4647852337427484,"score_spread":0.3296014489087148,"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."}}