{"id":"W2107402345","doi":"10.1109/ssst.2010.5442847","title":"Design of power controller for hybrid vehicle","year":2010,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Automotive engineering; Controller (irrigation); Computer science; Power (physics); Hybrid power; Torque; Electric vehicle; Gasoline; Electric motor; Hybrid vehicle; Point (geometry); Control theory (sociology); Control (management); Engineering; Mathematics; Electrical 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":[0.0003532021,0.0007216082,0.0005801016,0.0003386032,0.0003481863,0.001056161,0.001063938,0.0008278271,0.002482052],"category_scores_gemma":[0.0005057686,0.0002575394,0.0003476148,0.0001948642,0.0003941162,0.0005941559,0.0005471365,0.0007104994,0.0005671497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423158,"about_ca_system_score_gemma":0.0004738089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135183,"about_ca_topic_score_gemma":0.0009589923,"domain_scores_codex":[0.9996586,0.00004447716,0.00001610119,0.0001011274,0.000142038,0.0000377259],"domain_scores_gemma":[0.999845,0.00003838391,0.00001978961,0.00001034385,0.00007691165,0.000009579876],"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":[0.0001359325,0.000145034,0.000513804,0.0006211334,0.0001306712,0.00056063,0.0003155248,0.646497,0.06504366,0.08715205,0.004074703,0.19481],"study_design_scores_gemma":[0.00006078854,0.0001878636,0.0001623794,0.00002275964,0.00002608227,0.0000974144,0.00003453899,0.9728315,0.007510822,0.009114586,0.0099338,0.00001744182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004332689,0.0002206001,0.9901319,0.00007092366,0.00007571488,0.0000824515,0.00001608979,0.0002444346,0.004825316],"genre_scores_gemma":[0.780468,0.0006751766,0.2038417,0.0001921087,0.0001284124,0.0007577547,0.00009693435,0.00008997354,0.01374984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002482052,"threshold_uncertainty_score":0.008303285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09676773474542517,"score_gpt":0.3835867274410701,"score_spread":0.286818992695645,"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."}}