{"id":"W2953220880","doi":"10.1016/j.omega.2019.06.004","title":"An optimization approach to planning rail hazmat shipments in the presence of random disruptions","year":2019,"lang":"en","type":"article","venue":"Omega","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Ontario Tech University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Contingency plan; Hazardous waste; Constraint (computer-aided design); Contingency; Stochastic programming; Risk analysis (engineering); Plan (archaeology); Transport engineering; Operations research; Computer science; Business; Engineering; Waste management; Computer security; Mathematical optimization; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002381749,0.00006440827,0.0001932644,0.0002321765,0.00007426308,0.0001190846,0.0007248996,0.0000347561,0.00007105991],"category_scores_gemma":[0.0006186045,0.0000373291,0.00006219987,0.001197961,0.00002793974,0.0003483626,0.00004498927,0.00006917003,0.00005864711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009892696,"about_ca_system_score_gemma":0.00001746694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004145971,"about_ca_topic_score_gemma":0.00001003833,"domain_scores_codex":[0.9981782,0.0003196406,0.0003524409,0.0002531603,0.000768918,0.0001276398],"domain_scores_gemma":[0.9986444,0.0005684598,0.000103942,0.0005465091,0.00009185549,0.00004485195],"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":[0.00006440411,0.00008328644,0.0483713,0.000001589873,0.000005150247,4.187408e-7,0.005499599,0.9431728,0.00008341529,0.0003405558,0.0002974391,0.002080067],"study_design_scores_gemma":[0.001142589,0.00006127316,0.07401449,0.00002241784,0.00001658881,0.000002042219,0.01149179,0.9098719,0.00004641315,0.002037445,0.001155663,0.0001374318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6934403,0.00005203299,0.2846074,0.0007743809,0.00008760917,0.0003653028,0.000007960795,0.00000984775,0.02065518],"genre_scores_gemma":[0.991017,0.00001018681,0.008182749,0.0001101694,0.00001454791,0.00001672586,0.000009251853,0.000003355624,0.0006359872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2975767,"threshold_uncertainty_score":0.1522236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07651204499200619,"score_gpt":0.3780066192102539,"score_spread":0.3014945742182477,"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."}}