{"id":"W2214969595","doi":"10.1287/opre.2016.1535","title":"Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows","year":2016,"lang":"en","type":"article","venue":"Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Group for Research in Decision Analysis","funders":"","keywords":"Vehicle routing problem; Routing (electronic design automation); Computer science; Battery (electricity); Groundwater recharge; Extension (predicate logic); Algorithm; Mathematical optimization; Real-time computing; Engineering; Mathematics; Computer network; Power (physics)","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":[0.001851574,0.0001393623,0.0001566326,0.0002973106,0.0004496101,0.0001781881,0.00023016,0.00009047033,0.0001687562],"category_scores_gemma":[0.0004351534,0.00009664925,0.00003426559,0.0009372238,0.00005412081,0.0003111926,0.00003543287,0.0002263246,0.0002030295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029763,"about_ca_system_score_gemma":0.0001297664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001814411,"about_ca_topic_score_gemma":0.00001666841,"domain_scores_codex":[0.9982421,0.000205381,0.0002475421,0.0002870443,0.0003988431,0.0006191025],"domain_scores_gemma":[0.998495,0.000534825,0.00001045343,0.0003324208,0.0005109879,0.000116292],"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":[0.00001821776,0.00004382035,0.0002760331,0.00004114034,0.00005922487,0.000002094013,0.0002844431,0.5802224,0.3526259,0.000708199,0.001017008,0.06470151],"study_design_scores_gemma":[0.0007274638,0.0001598217,0.0001700593,0.00006876828,0.000005800155,0.000006983103,0.00001955787,0.9738225,0.02325628,0.00003864971,0.001545704,0.000178355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06976151,0.0001139114,0.9223574,0.0009715294,0.0000638144,0.001735991,0.00002855184,0.0005158722,0.004451463],"genre_scores_gemma":[0.7904018,0.00007513933,0.197767,0.00002211795,0.0003380307,0.0009233432,0.00002738155,0.0001686075,0.01027666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7245904,"threshold_uncertainty_score":0.3941242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05546575356943034,"score_gpt":0.346585389426236,"score_spread":0.2911196358568056,"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."}}