{"id":"W2138596841","doi":"10.1287/trsc.1100.0328","title":"European Driver Rules in Vehicle Routing with Time Windows","year":2010,"lang":"en","type":"article","venue":"Transportation Science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Tabu search; Vehicle routing problem; Heuristics; Column generation; Computer science; Task (project management); Routing (electronic design automation); Heuristic; Mathematical optimization; Operations research; Algorithm; Engineering; Artificial intelligence; Mathematics; Embedded system","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":[0.0009285805,0.00009150301,0.00008542114,0.0001428222,0.00008874455,0.00005341287,0.0002229821,0.00002357535,0.00007691323],"category_scores_gemma":[0.00002926317,0.00008656265,0.00001356506,0.0007338507,0.0001617146,0.0004644456,0.000002704749,0.0001929775,0.00008686992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001904846,"about_ca_system_score_gemma":0.00003521822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082504,"about_ca_topic_score_gemma":0.00006684564,"domain_scores_codex":[0.9990824,0.00002338311,0.0001990361,0.0002021995,0.0002631624,0.0002298602],"domain_scores_gemma":[0.9996305,0.00003600757,0.00003288333,0.0001638172,0.00006389544,0.00007295631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000005687178,0.0000157957,0.08090855,0.00001052485,0.00000257054,0.00001614465,0.003152447,0.540055,0.3672904,0.0008198277,0.000005881303,0.007717158],"study_design_scores_gemma":[0.0003194282,0.000009748991,0.698351,0.00001880789,0.000003716661,0.000001770089,0.0000467257,0.2896192,0.01136731,0.00002099158,0.00009025998,0.0001510365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597995,0.000002363668,0.03370975,0.00002742145,0.00008078614,0.00009248776,0.000003718448,0.000242278,0.006041655],"genre_scores_gemma":[0.9263962,0.000001002677,0.07348745,0.00002260287,0.00001877713,0.000002559904,0.000005736511,0.00002011056,0.00004558618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6174424,"threshold_uncertainty_score":0.3529922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009295564871308826,"score_gpt":0.2376110851423939,"score_spread":0.228315520271085,"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."}}