{"id":"W2129828643","doi":"10.1287/trsc.1120.0417","title":"Long-Haul Vehicle Routing and Scheduling with Working Hour Rules","year":2012,"lang":"en","type":"article","venue":"Transportation Science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Tabu search; Vehicle routing problem; Scheduling (production processes); TRIPS architecture; Operations research; Computer science; Transport engineering; Truck; Job shop scheduling; Engineering; Routing (electronic design automation); Operations management; Computer network; Automotive engineering; Algorithm","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":[0.000932759,0.000461168,0.0004450145,0.0002787316,0.0006114411,0.001066833,0.001072138,0.0006472687,0.00155769],"category_scores_gemma":[0.002247384,0.0003768115,0.0005267853,0.000822908,0.0006777795,0.001105055,0.0004552009,0.0006749192,0.0001919206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007638794,"about_ca_system_score_gemma":0.001400347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00720658,"about_ca_topic_score_gemma":0.008441958,"domain_scores_codex":[0.9994068,0.0002720117,0.00002449226,0.00007353359,0.000099778,0.0001234312],"domain_scores_gemma":[0.9991376,0.0004018282,0.0001940632,0.0001144818,0.00009103707,0.00006097071],"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":[0.00004616662,0.00003701899,0.0006696777,0.00002805598,0.00002026598,0.00006011268,0.00005218777,0.9739933,0.0009725762,0.0103079,0.0004164867,0.01339626],"study_design_scores_gemma":[0.00001503314,0.00005461359,0.0005159231,0.000005546493,0.00001024639,0.00003305728,0.00009224648,0.9812044,0.00118163,0.0153295,0.001547679,0.00001009016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.24436,0.0003389819,0.743993,0.0002353953,0.00008392407,0.0001618429,0.0002448271,0.0002059717,0.01037618],"genre_scores_gemma":[0.8573313,0.0002928972,0.137374,0.00005929448,0.00004379897,0.0001439747,0.0002747122,0.0000757072,0.004404182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00720658,"threshold_uncertainty_score":0.01432925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235828219791595,"score_gpt":0.2679198782070764,"score_spread":0.2443370562279168,"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."}}