{"id":"W2045460830","doi":"10.1115/detc2013-13619","title":"Modeling and Simulation of a Multiple-Regime Plug-In Hybrid Electric Vehicle","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Powertrain; Automotive engineering; Electric vehicle; Fuel efficiency; Modular design; Driving cycle; Hybrid vehicle; Engineering; Automotive industry; Plug-in; MATLAB; Battery electric vehicle; Computer science; Power (physics); Torque","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":[0.0002123212,0.0005167496,0.000510085,0.0003710142,0.0004270491,0.0008634914,0.0009456398,0.0008332427,0.003315481],"category_scores_gemma":[0.0003071006,0.000340643,0.0007626176,0.000276425,0.0003272968,0.0005582668,0.000477847,0.0006269293,0.000487578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005368929,"about_ca_system_score_gemma":0.0008070855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015733,"about_ca_topic_score_gemma":0.007494685,"domain_scores_codex":[0.9998474,0.00003258332,0.000009213356,0.00002986158,0.00005713688,0.00002389487],"domain_scores_gemma":[0.9998837,0.00004066608,0.00001685817,0.00001270649,0.00003722943,0.000008930725],"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":[0.00002119709,0.00001887734,0.0005054146,0.00002514256,0.00001185948,0.0000773787,0.00002493998,0.9944231,0.00141756,0.001484046,0.0001424467,0.001848111],"study_design_scores_gemma":[0.000006009578,0.00001781213,0.000169747,0.000002898204,0.000004629996,0.00001367195,0.000009444381,0.9981219,0.0005264677,0.0003482258,0.0007760066,0.000003183039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3295175,0.000607073,0.5975613,0.0005110127,0.0002146258,0.0003195321,0.001616262,0.002248323,0.06740437],"genre_scores_gemma":[0.9708236,0.0003178102,0.01644485,0.00003885251,0.00001424449,0.0002110539,0.0005746593,0.00005905697,0.01151586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.015733,"threshold_uncertainty_score":0.03128284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009682763587534511,"score_gpt":0.2031558208932122,"score_spread":0.1934730573056777,"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."}}