{"id":"W2050269402","doi":"10.1109/vppc.2010.5729036","title":"Hardware-in-the-Loop Testing of hybrid vehicle motor drives at Ford Motor Company","year":2010,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Key (lock); Motor drive; Computer science; Hybrid vehicle; Hardware-in-the-loop simulation; Automotive engineering; Electric motor; Loop (graph theory); Control engineering; Motor control; Engineering; Electrical engineering; Power (physics); Mechanical engineering; Psychology; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880739,0.000119104,0.0002035282,0.00006444313,0.00004439838,0.00003423322,0.0001930383,0.00003444748,0.0001536571],"category_scores_gemma":[0.00007169534,0.00009151771,0.00006536602,0.0001100091,0.00002463248,0.0001106342,0.00002093043,0.0001330332,0.00007340038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001961231,"about_ca_system_score_gemma":0.000007800552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001078261,"about_ca_topic_score_gemma":0.00008023097,"domain_scores_codex":[0.9991699,0.00002435017,0.0003167445,0.0001182219,0.0001695151,0.0002012218],"domain_scores_gemma":[0.9993301,0.0002550024,0.00004484621,0.0002701563,0.00004785391,0.00005206218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002108303,0.00004515432,0.03701689,0.00009546305,0.00003328699,0.000009513358,0.000256157,0.01643347,0.9391615,0.0005023115,0.0008597272,0.005565443],"study_design_scores_gemma":[0.0007541863,0.00003907243,0.06194918,0.00002379981,0.000008148956,0.00001313602,0.00009376464,0.9205786,0.01202133,0.00004717424,0.004312674,0.0001589091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714047,0.00003428686,0.0006159825,0.00004229623,0.0002471829,0.0003125143,0.000007997174,0.0001673625,0.02716766],"genre_scores_gemma":[0.9979429,0.000001038215,0.0005511445,0.00002937712,0.0001013197,0.00002331331,0.000003065577,0.00002091269,0.0013269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9271402,"threshold_uncertainty_score":0.3731984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336122328259949,"score_gpt":0.2186959438097162,"score_spread":0.2053347205271167,"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."}}