{"id":"W3163798297","doi":"10.3390/en14102824","title":"A Prediction Model for Battery Electric Bus Energy Consumption in Transit","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Battery (electricity); HVAC; Automotive engineering; Transit (satellite); Regression analysis; State of charge; Energy (signal processing); Simulation; Engineering; Environmental science; Public transport; Transport engineering; Statistics; Air conditioning; Power (physics); Electrical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002866906,0.00009035753,0.0001074224,0.00008925315,0.00002638281,0.00001882325,0.00004025941,0.0000857415,0.00002134568],"category_scores_gemma":[0.000005275784,0.00009673607,0.00004098146,0.0001788828,0.000005047853,0.0001035853,0.0000039821,0.00007627056,7.801102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005641121,"about_ca_system_score_gemma":0.00002070974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000064865,"about_ca_topic_score_gemma":0.0000489682,"domain_scores_codex":[0.999484,0.000008495197,0.0001381997,0.0001202538,0.00006324747,0.000185824],"domain_scores_gemma":[0.9998375,0.00002386587,0.000009863183,0.00008511369,0.00002159439,0.00002202503],"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":[0.000006522018,0.000006248383,0.0001827873,0.00003476184,0.00001375047,0.000002551052,0.0001183516,0.8926882,0.09227776,0.001091834,0.001463728,0.01211356],"study_design_scores_gemma":[0.0002948121,0.00001419338,0.001798586,0.00001207424,0.00000932443,0.00001030396,0.00001135255,0.918448,0.07727838,0.00123904,0.0007908526,0.00009312391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8191036,0.002422719,0.1776496,0.00005453866,0.000157091,0.00004278164,0.00001647177,0.0001789766,0.0003742155],"genre_scores_gemma":[0.9974436,0.0009531318,0.001121816,0.00007375093,0.00008196505,0.00004200617,0.0000418776,0.00002057197,0.0002212962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17834,"threshold_uncertainty_score":0.3944782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102025222625206,"score_gpt":0.1888302349793054,"score_spread":0.1786277127167848,"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."}}