{"id":"W3037764692","doi":"10.1002/net.21964","title":"Routing electric vehicles with a single recharge per route","year":2020,"lang":"en","type":"article","venue":"Networks","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Deutsche Forschungsgemeinschaft","keywords":"Groundwater recharge; Computer science; Driving range; Routing (electronic design automation); Heuristic; Range (aeronautics); Parking lot; Suite; Operations research; Mathematical optimization; Power (physics); Electric vehicle; Engineering; Mathematics; Computer network","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":[0.0003952097,0.000429234,0.0006744074,0.0004279326,0.0003342101,0.0007887069,0.0009223155,0.0007131355,0.004842601],"category_scores_gemma":[0.001315693,0.00036204,0.0004428576,0.0006309605,0.0004124435,0.0008777371,0.0005773802,0.000433527,0.0002941088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007735743,"about_ca_system_score_gemma":0.0006289006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006556589,"about_ca_topic_score_gemma":0.005553042,"domain_scores_codex":[0.9997671,0.00007065859,0.00001147082,0.00005219651,0.00003768002,0.00006088619],"domain_scores_gemma":[0.9996585,0.0001698832,0.00005517689,0.00003672077,0.00004422503,0.00003550793],"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":[0.00008466897,0.00002562495,0.0004126985,0.00002521689,0.00001551803,0.00004604426,0.00002319605,0.979392,0.001023259,0.00497917,0.0005795211,0.01339307],"study_design_scores_gemma":[0.0000123218,0.00003474029,0.00009282163,0.000003011815,0.000005035017,0.0000141309,0.00002160772,0.9954151,0.0004226454,0.003310309,0.0006642409,0.000003980141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3588587,0.0003825994,0.6250323,0.0004192482,0.0001190232,0.0001953374,0.0004966005,0.0007595735,0.01373658],"genre_scores_gemma":[0.8921197,0.0001021926,0.1013072,0.00003929009,0.00001715461,0.00007322841,0.0002103873,0.0000498554,0.006080899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006556589,"threshold_uncertainty_score":0.01620013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957702120302509,"score_gpt":0.2200015023775971,"score_spread":0.200424481174572,"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."}}