{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002605904,0.001506822,0.002773238,0.002277681,0.0007603978,0.002178466,0.001701357,0.002076274,0.003675059],"category_scores_gemma":[0.006034257,0.002392588,0.00164147,0.001974079,0.00161541,0.001678119,0.001336986,0.001611521,0.0002556447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002828085,"about_ca_system_score_gemma":0.003396358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04575143,"about_ca_topic_score_gemma":0.02299892,"domain_scores_codex":[0.9989613,0.0004823297,0.00004993512,0.000168234,0.00017488,0.0001632515],"domain_scores_gemma":[0.9964513,0.002897038,0.0002351396,0.00004527917,0.0002388933,0.000132292],"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":[0.0000163564,0.000006672355,0.00006955061,0.000009025526,0.00001554129,0.00001218225,0.000004632948,0.9978271,0.00003752676,0.001003329,0.00006564536,0.0009325189],"study_design_scores_gemma":[0.000005834755,0.00001186411,0.00005252752,0.00000227775,0.000006518763,0.000002264547,0.000005319181,0.9985901,0.00002501594,0.001231758,0.00006340194,0.000003203225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07455527,0.0009325795,0.9130915,0.001043217,0.0001238182,0.0002167513,0.0004509538,0.0002515242,0.009334379],"genre_scores_gemma":[0.8538229,0.0007603315,0.1339927,0.0001918146,0.0001169263,0.0003578375,0.0003945413,0.0001651393,0.01019769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04575143,"threshold_uncertainty_score":0.09097022,"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."}}