{"id":"W2943956374","doi":"10.1155/2019/5075671","title":"A Survey on the Electric Vehicle Routing Problem: Variants and Solution Approaches","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Hrvatska Zaklada za Znanost","keywords":"Vehicle routing problem; Heuristics; Computer science; Algorithm; Electric vehicle; Greenhouse gas; Operations research; Routing (electronic design automation); Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006325,0.0000953113,0.0001485046,0.00008495156,0.00005126449,0.0000223794,0.00007095695,0.00004784003,0.000006568617],"category_scores_gemma":[0.00005536663,0.0000734696,0.00003558941,0.0002894092,0.000008252396,0.0002603761,0.000001013654,0.0002320809,0.000002169328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130756,"about_ca_system_score_gemma":0.00001836054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004138627,"about_ca_topic_score_gemma":0.00001059646,"domain_scores_codex":[0.9991423,0.0001004559,0.0003508953,0.00008684141,0.0001819993,0.0001374412],"domain_scores_gemma":[0.9993813,0.0002364584,0.0001825242,0.00007926505,0.00008529051,0.00003516674],"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":[0.0000532329,0.00001668715,0.01215809,0.00002787013,0.00002929737,0.000001132569,0.0007136365,0.9574275,0.01795312,0.0006248874,0.000008851539,0.01098569],"study_design_scores_gemma":[0.0006126541,0.0001239265,0.8084256,0.00007313159,0.00002178147,0.000003947808,0.00009990575,0.1882793,0.001938566,0.0003004163,0.0000139546,0.0001067761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934568,0.0001194819,0.06467986,0.00009087804,0.0001432601,0.0001783929,0.000003167782,0.00003260508,0.0001843617],"genre_scores_gemma":[0.983245,0.00006577694,0.01659451,0.00001862086,0.00003072755,0.000002185147,0.000006800691,0.00002131433,0.00001504255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7962675,"threshold_uncertainty_score":0.2996003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666724517741675,"score_gpt":0.2407231984742481,"score_spread":0.2140559532968313,"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."}}