{"id":"W1605565489","doi":"10.1109/ihtc.2015.7238050","title":"Resources allocation in emergency response using an interdependencies simulation environment","year":2015,"lang":"en","type":"article","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interdependence; Computer science; Event (particle physics); Emergency management; Critical infrastructure; Genetic algorithm; Natural disaster; Optimization problem; Operations research; Disaster response; Resource allocation; Discrete event simulation; Risk analysis (engineering); Simulation; Engineering; Computer security; Business","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":[0.0009452034,0.0006855989,0.0004763,0.0005049276,0.0004904846,0.0008162413,0.0009024015,0.0009116816,0.002164529],"category_scores_gemma":[0.001793732,0.0003997594,0.0006519265,0.0004822596,0.0006689315,0.0007788987,0.0009736295,0.0008291565,0.0001666124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886962,"about_ca_system_score_gemma":0.001272953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294436,"about_ca_topic_score_gemma":0.009829633,"domain_scores_codex":[0.9995139,0.0003160737,0.00002014654,0.00003749135,0.00006204523,0.00005036551],"domain_scores_gemma":[0.9989265,0.0007859918,0.00006679175,0.00006107333,0.0000829455,0.00007665566],"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":[0.00003117125,0.00002910033,0.0004519689,0.000007029693,0.00001028025,0.00001913626,0.00002331799,0.9967157,0.0002336417,0.001378848,0.00007795202,0.00102194],"study_design_scores_gemma":[0.00001408358,0.00001682332,0.00008095858,0.000001786175,0.000003630766,0.000002975544,0.00001061702,0.9989256,0.0002053659,0.0004809642,0.0002544409,0.000002707959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5604407,0.0001970766,0.4158036,0.0006487317,0.00007542386,0.0003393106,0.0007425485,0.001613058,0.02013955],"genre_scores_gemma":[0.9349391,0.0001470606,0.06274609,0.00004511946,0.000007804264,0.0002451161,0.0002622576,0.00007292792,0.001534542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294436,"threshold_uncertainty_score":0.02573806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229773954306001,"score_gpt":0.2767274140531963,"score_spread":0.2444296745101363,"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."}}