{"id":"W2602703059","doi":"","title":"European Driver Rules in Vehicle Routing with Time Windows","year":2009,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Vehicle routing problem; Tabu search; Heuristics; Computer science; Column generation; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009795657,0.0003499207,0.0003456151,0.0003908183,0.0001201912,0.0001473222,0.000397147,0.0001533657,0.00003986803],"category_scores_gemma":[0.0001039128,0.0003565699,0.00007560848,0.0006696661,0.00004372837,0.0003616476,0.00006096647,0.0005080955,0.00008573996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638448,"about_ca_system_score_gemma":0.00004488508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002589079,"about_ca_topic_score_gemma":0.0001267015,"domain_scores_codex":[0.9979197,0.0002539292,0.0004647864,0.0003576829,0.0002691791,0.0007347549],"domain_scores_gemma":[0.9989834,0.00008728742,0.00009525534,0.0005719201,0.0000569806,0.000205197],"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":[0.00004665098,0.0001111407,0.03519501,0.00001891441,0.00003101368,0.0001735512,0.0006029137,0.8784035,0.02871873,0.001740632,0.0005062558,0.05445164],"study_design_scores_gemma":[0.0006661933,0.00008849811,0.1753073,0.0001010432,0.00001440311,0.00004980419,0.00003093652,0.8172093,0.005574109,0.0001929706,0.0003201073,0.0004453928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4667866,0.0002488579,0.5203515,0.0006452457,0.00003903048,0.000474116,0.00001062728,0.002304972,0.009139066],"genre_scores_gemma":[0.7571299,0.00002954318,0.2418093,0.000543202,0.00008069491,0.00002598356,0.00001453804,0.0001003571,0.0002665289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2903433,"threshold_uncertainty_score":0.9998886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007268098677596334,"score_gpt":0.2127111444867994,"score_spread":0.2054430458092031,"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."}}