{"id":"W1989362966","doi":"10.1109/tpwrd.2011.2169092","title":"Dynamic Average-Value Modeling of Hybrid-Electric Vehicular Power Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of British Columbia; University of Manitoba","funders":"","keywords":"Electric power system; Train; Modeling and simulation; Computer science; Power (physics); Automotive engineering; Dynamic simulation; Vehicle dynamics; Engineering; Simulation; Control engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003736483,0.0003890969,0.000488998,0.000294434,0.0003006344,0.000823713,0.001076346,0.0004918496,0.001343186],"category_scores_gemma":[0.0009359319,0.0002216075,0.0003989323,0.0004013113,0.0004577935,0.0009152588,0.000422976,0.0004813534,0.0001916644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005842628,"about_ca_system_score_gemma":0.0004305704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004734111,"about_ca_topic_score_gemma":0.002618167,"domain_scores_codex":[0.9998059,0.00005972288,0.00000851622,0.00003139638,0.00006564488,0.00002894365],"domain_scores_gemma":[0.9997761,0.0001138129,0.00002895756,0.00001864082,0.00004599317,0.0000164992],"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":[0.00001191259,0.00000738377,0.0002443866,0.000009194686,0.000008565757,0.00003509643,0.00002655901,0.9771881,0.0006643852,0.01834854,0.0001463172,0.003309544],"study_design_scores_gemma":[9.832522e-7,0.000003791756,0.00003320108,7.892693e-7,0.00000139411,0.000004481347,0.000003095931,0.996781,0.00009511122,0.00286648,0.0002082629,0.000001315541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05957241,0.0002242332,0.9258228,0.0001682085,0.00004363952,0.00002950532,0.0001202401,0.000236948,0.01378209],"genre_scores_gemma":[0.9844294,0.0001840058,0.01134065,0.0000256956,0.00001836683,0.0000409456,0.00006834867,0.00003669671,0.003855884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004734111,"threshold_uncertainty_score":0.009413064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099467636265136,"score_gpt":0.1875420977223602,"score_spread":0.1765474213597089,"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."}}