{"id":"W2606490914","doi":"10.1017/s1049023x17005829","title":"Large-Scale Disaster Simulations: Advancing Pediatric Disaster Preparedness and Safety through Whole-Hospital, Inter-Professional Learning","year":2017,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital","funders":"","keywords":"Preparedness; Disaster preparedness; Medical emergency; Emergency management; Scale (ratio); Medicine; Psychology; Geography; Political science","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":[0.003797667,0.0006478988,0.000383434,0.0003560141,0.0003560384,0.0008989564,0.001686381,0.0009913609,0.002681252],"category_scores_gemma":[0.01527466,0.0002479886,0.000619116,0.0003035132,0.0005664264,0.0009366201,0.001067908,0.0006616567,0.0002181372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717411,"about_ca_system_score_gemma":0.004357961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008388886,"about_ca_topic_score_gemma":0.00743291,"domain_scores_codex":[0.9980847,0.001335211,0.00005921468,0.0001522266,0.0002595576,0.0001090633],"domain_scores_gemma":[0.9926189,0.005318831,0.0006413294,0.0003546863,0.0004812143,0.0005850954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009737963,0.01717213,0.03448357,0.0006886484,0.000474225,0.0001877319,0.0007040335,0.8161063,0.002918374,0.003384312,0.001617182,0.1125255],"study_design_scores_gemma":[0.004249416,0.0391935,0.02869582,0.0002322343,0.0005336205,0.0001554892,0.0005787445,0.9136331,0.005913929,0.002993181,0.003725325,0.00009558906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688375,0.0001043768,0.02374348,0.0003234855,0.00005725628,0.002180971,0.0002269,0.0001400006,0.004385895],"genre_scores_gemma":[0.9750043,0.0001415813,0.02253105,0.00009016076,0.000009960142,0.001355073,0.0001615713,0.000007783435,0.0006985952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008388886,"threshold_uncertainty_score":0.0200842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298826861977326,"score_gpt":0.3728315862612281,"score_spread":0.3498433176414548,"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."}}