{"id":"W3011499731","doi":"10.1109/ghtc46095.2019.9033012","title":"Scenario Planning for Disaster Relief Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dependency (UML); Computer science; Emergency management; Disaster area; Transport engineering; Flow network; Operations research; Engineering; Geography; Mathematical optimization; Artificial intelligence","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":[0.0006866212,0.0007994236,0.0003892494,0.001011039,0.0006581192,0.001196592,0.0008604848,0.0007489649,0.008904379],"category_scores_gemma":[0.001785837,0.0005872152,0.0006015942,0.001262278,0.0004814819,0.001389148,0.001096909,0.0006180041,0.0004982582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749975,"about_ca_system_score_gemma":0.001217308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006782202,"about_ca_topic_score_gemma":0.01227293,"domain_scores_codex":[0.9994281,0.0003562695,0.00001457949,0.00006959992,0.00006761319,0.00006385435],"domain_scores_gemma":[0.9996296,0.0001981786,0.00004747535,0.0000184778,0.00005468185,0.00005157344],"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":[0.00002071161,0.000009614758,0.0002300605,0.0000370321,0.00001285538,0.000126987,0.00004077476,0.9681658,0.0002211017,0.02320001,0.0009196423,0.007015506],"study_design_scores_gemma":[0.00001257376,0.00002936669,0.0002047778,0.00002767441,0.000009450686,0.00007082008,0.0001958428,0.9538833,0.0002612594,0.03757769,0.007715232,0.00001196249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05550708,0.0008799864,0.8908187,0.001065611,0.00008462671,0.0005644893,0.001419997,0.0003783591,0.04928106],"genre_scores_gemma":[0.7467416,0.001363772,0.2391268,0.00007573285,0.00003088668,0.0007603851,0.001333042,0.00008788324,0.01047997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008904379,"threshold_uncertainty_score":0.02978808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287447593630597,"score_gpt":0.2349512405908022,"score_spread":0.2120767646544962,"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."}}