{"id":"W4200085142","doi":"10.1155/2021/8868291","title":"Dispatching Design for Customized Bus of Hybrid Vehicles Based on Reservation Data","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Reservation; Public transport; Scheduling (production processes); Genetic algorithm; Plan (archaeology); Computer science; Transport engineering; Operations research; Engineering; Computer network; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004047444,0.0006607547,0.000632383,0.0003765145,0.0004934483,0.0008205113,0.001051342,0.0004488617,0.002857058],"category_scores_gemma":[0.000492161,0.0004349123,0.0006361175,0.000363346,0.000300181,0.0005946392,0.0005205388,0.0004385589,0.0002703384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008705495,"about_ca_system_score_gemma":0.001290824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010215,"about_ca_topic_score_gemma":0.006305189,"domain_scores_codex":[0.9997396,0.0000525557,0.00001266972,0.00007801951,0.00005693248,0.00006017828],"domain_scores_gemma":[0.9998518,0.0000379388,0.00002749012,0.000009776755,0.00005390293,0.00001904193],"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":[0.00004838472,0.00001872571,0.0003982827,0.0000556652,0.0000168823,0.00005539274,0.00004194891,0.9781249,0.003138477,0.00658694,0.0005671534,0.01094718],"study_design_scores_gemma":[0.000005725103,0.00002788113,0.00008125214,0.000001528628,0.000004686215,0.000007662999,0.00001266261,0.9986545,0.0002823384,0.0005445304,0.000373962,0.000003209471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06775938,0.0002402223,0.9214467,0.0001709321,0.00007913967,0.0001327346,0.0001345944,0.0002471244,0.009789189],"genre_scores_gemma":[0.9462417,0.0001924469,0.04888812,0.00002729475,0.0000233198,0.0001806396,0.0001337651,0.00004112817,0.004271582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010215,"threshold_uncertainty_score":0.02031112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120117330979483,"score_gpt":0.2842375712786147,"score_spread":0.2430363979688198,"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."}}