{"id":"W4299395974","doi":"","title":"A Heuristic for the Time-Dependent Vehicle Routing Problem with Time Windows","year":2016,"lang":"en","type":"book","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Heuristic; Computer science; Vehicle routing problem; Routing (electronic design automation); Mathematical optimization; Computer network; Mathematics; Artificial intelligence","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":[0.0005281566,0.0005927823,0.0007152573,0.0005077176,0.0003534358,0.0007421185,0.001221148,0.0008491866,0.00345896],"category_scores_gemma":[0.0009990952,0.0002975205,0.0004856349,0.0006975483,0.0003745113,0.0006061528,0.0006082063,0.0006435899,0.0002970066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008222328,"about_ca_system_score_gemma":0.001093222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00482033,"about_ca_topic_score_gemma":0.004671542,"domain_scores_codex":[0.9997484,0.00009546362,0.000008784625,0.00004321232,0.00004912912,0.00005501697],"domain_scores_gemma":[0.9996625,0.0001956938,0.00003825764,0.00002689903,0.00004025833,0.00003634437],"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":[0.00005072355,0.00006267758,0.0001922213,0.00006558758,0.00001634439,0.00006382272,0.00002974122,0.9549129,0.001304384,0.009186047,0.001574001,0.03254145],"study_design_scores_gemma":[0.00001874386,0.00003905404,0.00005678136,0.000006464737,0.000004467005,0.00001696517,0.00001308899,0.9962268,0.0003522599,0.002280893,0.0009811291,0.000003375682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05071107,0.0008172248,0.9393208,0.0002682158,0.0001062718,0.0002135706,0.0001629856,0.0003188128,0.008080995],"genre_scores_gemma":[0.4422045,0.0005545735,0.5504563,0.0001307052,0.00005610775,0.0003676916,0.0003051611,0.0001122012,0.005812691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00482033,"threshold_uncertainty_score":0.01157135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809374254177509,"score_gpt":0.2087855742957374,"score_spread":0.1999762000415598,"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."}}