{"id":"W4306294607","doi":"","title":"IEEE VTS Motor Vehicles Challenge 2021 - Energy Management of A Dual-Motor All-Wheel Drive Electric Vehicle","year":2020,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Electric vehicle; Automotive engineering; Dual (grammatical number); Electric motor; Traction motor; Energy management; Induction motor; Computer science; Energy (signal processing); Electrical engineering; Engineering; Voltage; Physics; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001771359,0.0007433447,0.0005902391,0.0007192146,0.001051719,0.002139719,0.001502844,0.002720309,0.01228713],"category_scores_gemma":[0.001596423,0.0001992863,0.0004276779,0.0005520675,0.0005247949,0.001647335,0.002182015,0.001451497,0.005012983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994152,"about_ca_system_score_gemma":0.004985407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007444134,"about_ca_topic_score_gemma":0.01076533,"domain_scores_codex":[0.9987243,0.0001559661,0.00003589555,0.00008700108,0.0007591805,0.0002376477],"domain_scores_gemma":[0.9989833,0.00008134318,0.00003785563,0.00005661619,0.0006268817,0.0002139713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003397017,0.0003431881,0.001575791,0.0007538394,0.00003621653,0.0004659824,0.0002332503,0.02224407,0.01379451,0.1388094,0.5536057,0.2677985],"study_design_scores_gemma":[0.00002617099,0.0002264832,0.001201801,0.000178857,0.00001298793,0.0002400844,0.000211912,0.01601337,0.004113849,0.01736615,0.9603779,0.00003056121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04447992,0.01115425,0.1268716,0.0315198,0.009964501,0.0009184957,0.00445379,0.002347738,0.7682899],"genre_scores_gemma":[0.3755108,0.00924945,0.05362767,0.006680936,0.001785926,0.0009423046,0.01908197,0.0008724488,0.5322486],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01228713,"threshold_uncertainty_score":0.04110456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860317005786328,"score_gpt":0.1936190384735436,"score_spread":0.1847587214677573,"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."}}