{"id":"W2245036069","doi":"","title":"Risk-Based Model for Effective Marshalling of Dangerous Goods Railway Cars","year":2010,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marshalling; Transport engineering; Dangerous goods; Engineering; Business; Risk analysis (engineering); Civil engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002482623,0.001860342,0.002170177,0.001537837,0.001151744,0.003832789,0.003484517,0.004618559,0.01094373],"category_scores_gemma":[0.00397221,0.001490328,0.001756715,0.001120398,0.001575913,0.002154809,0.002265846,0.003081692,0.0014902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003617517,"about_ca_system_score_gemma":0.003144812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04427331,"about_ca_topic_score_gemma":0.01776728,"domain_scores_codex":[0.9989777,0.0003562791,0.00005467538,0.0001949889,0.0002038487,0.0002125177],"domain_scores_gemma":[0.9977528,0.001282091,0.0002858723,0.00005726017,0.0004376409,0.0001844349],"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":[0.00001173079,0.000008732819,0.00009407739,0.00001086667,0.000006102744,0.00003801008,0.00001554584,0.9957908,0.00008516547,0.003093294,0.0001444718,0.0007011075],"study_design_scores_gemma":[0.000006558798,0.000009777381,0.00003666859,0.000005168233,0.000005741575,0.000006240515,0.00001079775,0.9983493,0.00003048241,0.001315683,0.0002177835,0.000005745244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06074427,0.001143089,0.8881493,0.00179011,0.000220924,0.0002848486,0.001143879,0.0006766535,0.04584695],"genre_scores_gemma":[0.8998137,0.001073414,0.05089765,0.0002156536,0.0001016129,0.0005919696,0.0006539041,0.0001918648,0.04646024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04427331,"threshold_uncertainty_score":0.08803123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006170572498440788,"score_gpt":0.1802612802685412,"score_spread":0.1740907077701004,"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."}}