{"id":"W4403210609","doi":"10.1109/icecet61485.2024.10698631","title":"Electric-vehicle routing problem with time windows and energy minimization: green logistics with same-day delivery approaches","year":2024,"lang":"en","type":"article","venue":"","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Vehicle routing problem; Minification; Computer science; Energy minimization; Routing (electronic design automation); Energy (signal processing); Mathematical optimization; Automotive engineering; Engineering; Embedded system; Mathematics; World Wide Web; 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":[0.0002654494,0.0002621195,0.0002306102,0.0001449303,0.00009627116,0.0001864856,0.0001095007,0.0001113658,0.0000564384],"category_scores_gemma":[0.00001876101,0.000202615,0.00002296354,0.0006909294,0.00005250392,0.0001987472,0.00003839388,0.000179244,0.00001051967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007098515,"about_ca_system_score_gemma":0.00005796802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007687259,"about_ca_topic_score_gemma":0.00003031516,"domain_scores_codex":[0.9987435,0.00008649742,0.0002503271,0.0003628183,0.0002130773,0.0003438189],"domain_scores_gemma":[0.9993716,0.0002356739,0.00003363749,0.0001902079,0.00006626068,0.0001025719],"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":[0.00001855444,0.00001621074,0.0008737823,0.0001404282,0.0001549535,0.00002653277,0.0004126365,0.9399621,0.0005205225,0.003456338,0.0003796071,0.05403836],"study_design_scores_gemma":[0.0002700443,0.0001025787,0.0001155858,0.00008958753,0.00007141763,0.00005778871,0.00006161465,0.9956872,0.001614231,0.0000685577,0.001525809,0.0003355638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004817957,0.0006842484,0.9733732,0.0002058582,0.00003450539,0.0001672433,0.000005211476,0.00145051,0.01926131],"genre_scores_gemma":[0.6473931,0.00007978244,0.3463227,0.0001063588,0.0001589731,0.00003811007,0.0000320677,0.0001605944,0.005708328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6425751,"threshold_uncertainty_score":0.8262402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817089141925737,"score_gpt":0.2036610038365544,"score_spread":0.1854901124172971,"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."}}