{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003225872,0.0006403481,0.0003823384,0.0002935782,0.000243666,0.0005460339,0.0005975101,0.0004224426,0.001993403],"category_scores_gemma":[0.0006887256,0.0002828543,0.0004492146,0.0003141902,0.0001521184,0.0004301436,0.0002694874,0.0005760504,0.000364551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462563,"about_ca_system_score_gemma":0.0006592086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853493,"about_ca_topic_score_gemma":0.01744935,"domain_scores_codex":[0.9998472,0.00002776893,0.000009195728,0.00005653959,0.00003644144,0.0000228244],"domain_scores_gemma":[0.9997995,0.00009300048,0.00002883569,0.000009943162,0.00006318104,0.000005490884],"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":[0.00003455295,0.00002862621,0.001617389,0.00001884842,0.000009289387,0.00003197422,0.00001932857,0.9916442,0.001055314,0.0005052407,0.0001989309,0.004836315],"study_design_scores_gemma":[0.000001824683,0.00001177233,0.0003854587,0.000001025062,0.000003327661,0.000003418593,0.000004305037,0.9992045,0.0001923328,0.00009306771,0.00009739665,0.000001609427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5427562,0.0003143534,0.4426879,0.0002999584,0.00007687284,0.0001437534,0.00177924,0.001504088,0.01043765],"genre_scores_gemma":[0.989665,0.00009558546,0.00624618,0.00001013901,0.00000655717,0.00008447222,0.0005221968,0.00002212794,0.003347757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02853493,"threshold_uncertainty_score":0.05673766,"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."}}