{"id":"W4409750925","doi":"10.1097/ta.0000000000004627","title":"Resiliency of the Ontario health care system to care for casualties due to conflict with a near-peer adversary: A population-based modeling study","year":2025,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Health care; Medical emergency; Surge Capacity; Population; Medicine; Triage; Intensive care; Emergency medicine; Environmental health; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007691899,0.0001586475,0.0004053283,0.0001633821,0.001439451,0.00003183278,0.0001709243,0.00006063741,0.000007495656],"category_scores_gemma":[0.0002019471,0.00009212951,0.00009713109,0.0002536016,0.00004094182,0.00007845534,0.00006725365,0.0003340782,6.740236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007845279,"about_ca_system_score_gemma":0.0009776928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0445599,"about_ca_topic_score_gemma":0.138677,"domain_scores_codex":[0.9978551,0.0006297422,0.0006682758,0.0001593995,0.0004052104,0.0002822509],"domain_scores_gemma":[0.9973742,0.0002976743,0.0001445886,0.0002905981,0.00175004,0.0001428962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005668766,0.0001888321,0.1747476,0.006399946,0.0001623832,0.00000402472,0.7967477,0.008769504,0.000003917147,0.002953425,0.00194223,0.00241169],"study_design_scores_gemma":[0.001761637,0.004026786,0.1328213,0.002081124,0.0004729971,0.00000546066,0.8520148,0.000142686,0.00001099425,0.00003799311,0.006472389,0.0001518842],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98874,0.0004160783,0.005330076,0.001886189,0.0006124834,0.002395757,0.00005585177,0.00001777549,0.0005457731],"genre_scores_gemma":[0.9983546,0.000001767582,0.0001587957,0.001160827,0.00007501213,0.00008676057,0.000003773624,0.00001501793,0.0001434509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09411707,"threshold_uncertainty_score":0.9998605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644302050414411,"score_gpt":0.4129088477011238,"score_spread":0.3764658271969797,"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."}}