{"id":"W4413248288","doi":"10.1504/ijstl.2025.147886","title":"Simultaneous consideration of the accident and terror risks for hazardous materials transportation","year":2025,"lang":"en","type":"article","venue":"International Journal of Shipping and Transport Logistics","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hazardous waste; Accident (philosophy); Business; Risk analysis (engineering); Forensic engineering; Transport engineering; Waste management; Engineering","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":[0.001124327,0.00008099801,0.0002685254,0.0001877383,0.00009023288,0.00007956117,0.0002705478,0.00005870182,0.00001539829],"category_scores_gemma":[0.001162453,0.0000512753,0.0001203337,0.0001104879,0.0001396657,0.0001127231,0.000006616456,0.00008026309,1.590415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001666783,"about_ca_system_score_gemma":0.0000887651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005500785,"about_ca_topic_score_gemma":0.0002982478,"domain_scores_codex":[0.9982369,0.00005054217,0.0009828334,0.0001262635,0.0005334232,0.00007005574],"domain_scores_gemma":[0.9973252,0.0009725778,0.0005942683,0.00009155825,0.0009852089,0.00003113053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002817806,0.0003227648,0.6392114,0.0001254784,0.001702939,0.0001830185,0.006164079,0.1238113,0.01330413,0.03704618,0.0004107743,0.1749002],"study_design_scores_gemma":[0.002456618,0.0001885547,0.7672995,0.0004191008,0.000785822,0.0000827377,0.00218914,0.006659113,0.01171527,0.2051777,0.002803929,0.000222501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802044,0.0002394439,0.2144295,0.004093846,0.0007689827,0.00009745428,0.0001204238,0.000002892624,0.00004300173],"genre_scores_gemma":[0.9978313,0.000322363,0.001560062,0.0001350452,0.00006146709,0.00000129634,0.000007435647,0.000003129194,0.00007785325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176269,"threshold_uncertainty_score":0.2090946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09787106583125639,"score_gpt":0.4102431326940895,"score_spread":0.3123720668628331,"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."}}