{"id":"W4200449689","doi":"10.1155/2021/1191443","title":"Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shenzhen Municipal Science and Technology Innovation Council; Tsinghua Shenzhen International Graduate School; National Natural Science Foundation of China","keywords":"Computer science; Mathematical optimization; Robustness (evolution); Scheduling (production processes); Robust optimization; Operations research; Engineering","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":[0.0001243208,0.0001245816,0.0002220407,0.0001086429,0.00004982567,0.00002003075,0.00004584985,0.0000884109,0.00001377511],"category_scores_gemma":[0.000009850983,0.0001222596,0.00007687452,0.0002978295,0.000007189251,0.0003584957,8.889961e-7,0.0003085129,4.707628e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007822588,"about_ca_system_score_gemma":0.00007901672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001331394,"about_ca_topic_score_gemma":0.00000669681,"domain_scores_codex":[0.9991537,0.00001618909,0.0003645893,0.0001077195,0.000175674,0.0001821059],"domain_scores_gemma":[0.9995369,0.00003347128,0.0001117849,0.00005559676,0.0001875386,0.00007470515],"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":[0.00002733274,0.000007730961,0.00000765755,0.00002226973,0.0000377166,0.00001132527,0.000252884,0.702847,0.28715,0.0001677485,0.00000785871,0.0094605],"study_design_scores_gemma":[0.000808097,0.00007564732,0.006460511,0.00004734474,0.00009546881,0.0001036833,0.0001884895,0.9681429,0.02226614,0.001649295,0.00001693997,0.0001455346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4742707,0.0008007654,0.5247502,0.0000624409,0.00004673193,0.00002945906,0.000002924821,0.0000154619,0.00002130917],"genre_scores_gemma":[0.7006017,0.0004642741,0.298788,0.00003141715,0.00005896725,7.34313e-7,0.00001343508,0.00001923955,0.00002226866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2652958,"threshold_uncertainty_score":0.4985603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00818856078296571,"score_gpt":0.2285860290689511,"score_spread":0.2203974682859854,"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."}}