{"id":"W2098845949","doi":"10.1017/dmp.2015.11","title":"Redistribution of Emergency Department Patients After Disaster-Related Closures of a Public Versus Private Hospital in New York City","year":2015,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Disaster Response and Management","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medical emergency; Public hospital; Emergency department; Public health; Redistribution (election); Medicine; Health care; Trauma center; Emergency medicine; Occupational safety and health; Emergency management; Injury prevention; Poison control; Retrospective cohort study; Nursing; Political science; Surgery","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":[0.002516062,0.0003132189,0.0007898331,0.0003599738,0.000115693,0.000009207847,0.0002867547,0.0001902484,0.0003767326],"category_scores_gemma":[0.00112482,0.0002511634,0.00007384101,0.0007674001,0.0001723789,0.0004039305,0.000371616,0.0003038002,0.00001103334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326348,"about_ca_system_score_gemma":0.001191553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363423,"about_ca_topic_score_gemma":0.001159063,"domain_scores_codex":[0.9945039,0.001290376,0.002004364,0.000513249,0.0007487729,0.0009393524],"domain_scores_gemma":[0.9969285,0.0001782644,0.0009221785,0.0005991015,0.000362545,0.001009376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00167883,0.001279721,0.4286699,0.001285404,0.0001693788,0.000005197609,0.4797918,5.785674e-7,0.000001734724,0.00388628,0.06673257,0.01649864],"study_design_scores_gemma":[0.03512925,0.007520285,0.2895952,0.002346442,0.0001479194,8.929036e-7,0.4186216,0.00009966213,0.000001608307,0.002921398,0.2427469,0.0008688683],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835846,0.001055249,0.000517811,0.005341526,0.00292522,0.00199111,0.0001395925,0.00004769727,0.004397155],"genre_scores_gemma":[0.9981961,0.0001001999,0.0000386591,0.0003655857,0.0001529095,0.0002260144,0.0005441151,0.00002668574,0.0003497366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1760143,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1674141245395547,"score_gpt":0.4112686246132858,"score_spread":0.2438545000737311,"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."}}