{"id":"W2906281485","doi":"10.1155/2018/9202450","title":"Optimal Control, Safety Technology, and Electromagnetic Compatibility in the Driving System of Electric Vehicle","year":2018,"lang":"en","type":"article","venue":"Journal of Control Science and Engineering","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Compatibility (geochemistry); Electromagnetic compatibility; Automotive engineering; Electric vehicle; Active safety; Vehicle safety; Engineering; Computer science; Electrical engineering; Physics","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":[0.0002882193,0.0002198578,0.0002695339,0.0005517343,0.000522623,0.0007167968,0.0002721876,0.0003394519,0.001383137],"category_scores_gemma":[0.00105649,0.0001632401,0.0002852483,0.0002081501,0.0005307566,0.0005565523,0.0004397694,0.0003065054,0.00009717886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974326,"about_ca_system_score_gemma":0.0006845865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737587,"about_ca_topic_score_gemma":0.002330306,"domain_scores_codex":[0.9998466,0.0000372812,0.000007154966,0.00003032116,0.00004464627,0.00003399811],"domain_scores_gemma":[0.9996353,0.0001216526,0.00007658682,0.00001279467,0.0001220461,0.00003152134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004889187,0.0003232282,0.01704616,0.0001703203,0.0001392733,0.000603581,0.0005044748,0.6123384,0.02932062,0.2789729,0.001725787,0.05836641],"study_design_scores_gemma":[0.00003387284,0.0002422685,0.009413087,0.00001312845,0.00003567491,0.0001619684,0.0001761894,0.9254279,0.002076803,0.06115939,0.00121926,0.00004043696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233929,0.0005324645,0.252479,0.0008982285,0.00009588352,0.00003784504,0.00005224314,0.00007656802,0.02243492],"genre_scores_gemma":[0.9973558,0.00006598181,0.001187746,0.00001549367,0.00001453049,0.000005260114,0.00001082889,0.000003923431,0.001340457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003737587,"threshold_uncertainty_score":0.007431686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00194230108383084,"score_gpt":0.1739529126501961,"score_spread":0.1720106115663653,"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."}}