{"id":"W2973793451","doi":"10.1016/j.ifacol.2019.09.023","title":"From Off-line to On-line Control of a Multimode Power Split Hybrid Electric Vehicle Powertrain","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Line (geometry); Power (physics); Electric cars; Electric vehicle; Electrical engineering; Engineering; Mathematics; Physics; Torque","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":[0.0002402334,0.0003706867,0.0002210108,0.0001636213,0.0001857254,0.0006934396,0.0004962878,0.0002272073,0.001762743],"category_scores_gemma":[0.0004195127,0.0001311881,0.0001437688,0.00008865349,0.0002877078,0.0004128081,0.0003629984,0.0004425097,0.0001985741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210445,"about_ca_system_score_gemma":0.0002670328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142514,"about_ca_topic_score_gemma":0.001725653,"domain_scores_codex":[0.9998477,0.00002670404,0.000007664396,0.00003755468,0.00006196753,0.00001842576],"domain_scores_gemma":[0.9997923,0.00006311228,0.00003682986,0.0000337636,0.00006197882,0.00001201246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000557586,0.0004150701,0.00267594,0.00025372,0.00008129363,0.0001726095,0.0003071781,0.4017308,0.1769526,0.007181288,0.001284401,0.4083875],"study_design_scores_gemma":[0.00002200803,0.0003649314,0.001183784,0.00002101618,0.00001725229,0.00004924573,0.00004342564,0.9510016,0.04301502,0.001696691,0.002573475,0.00001146927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1925461,0.0001461705,0.7957895,0.0001406985,0.00007439803,0.0001046024,0.00003210478,0.0006398364,0.01052665],"genre_scores_gemma":[0.9816181,0.00003411919,0.01657976,0.00003249156,0.00001069292,0.00003159792,0.00001770661,0.00002126042,0.00165425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001762743,"threshold_uncertainty_score":0.005896986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007969440359824775,"score_gpt":0.2237235044173999,"score_spread":0.2157540640575751,"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."}}