{"id":"W2626613082","doi":"","title":"Locomotive assignment under consist busting and maintenance constraints","year":2014,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pacific Railway (Canada); Concordia University","funders":"","keywords":"Column generation; Train; Heuristics; Scalability; Decomposition; String (physics); Optimization problem; Computer science; Engineering; Mathematical optimization; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005331831,0.0008976049,0.0009573737,0.0005034709,0.0003606215,0.00103148,0.001247602,0.001023204,0.00487694],"category_scores_gemma":[0.0009872594,0.0005952275,0.0007465521,0.001273951,0.0004620492,0.001117362,0.0007616121,0.0008667553,0.00049782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009852119,"about_ca_system_score_gemma":0.001193601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335144,"about_ca_topic_score_gemma":0.01405971,"domain_scores_codex":[0.9996351,0.0001220059,0.00001019053,0.0000817022,0.0000723239,0.00007860739],"domain_scores_gemma":[0.9996641,0.0001289343,0.00007318037,0.00004077609,0.00004616141,0.00004688897],"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":[0.00002619039,0.00002435413,0.0003210892,0.00002684489,0.00001029765,0.00004132415,0.0000110997,0.9879571,0.0006502584,0.003583964,0.0009825266,0.006364975],"study_design_scores_gemma":[0.000007595823,0.0000204134,0.0001727523,0.000002372229,0.000004261155,0.00001592634,0.000009827373,0.9974612,0.000181819,0.001603271,0.0005172443,0.000003334148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06445957,0.0001787283,0.9267231,0.0002484163,0.00004543106,0.0001099747,0.0005509144,0.0003708156,0.007312908],"genre_scores_gemma":[0.758197,0.000299278,0.2309844,0.0001562591,0.00003695931,0.0002363445,0.001067955,0.0001636885,0.008858097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01335144,"threshold_uncertainty_score":0.02654743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004225027175911758,"score_gpt":0.1605987540331355,"score_spread":0.1563737268572238,"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."}}