{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002138752,0.0001218942,0.0003725436,0.000537046,0.00007865117,0.00005012693,0.0002948923,0.00005602623,5.559033e-7],"category_scores_gemma":[0.0001729103,0.00008651668,0.00003292575,0.001160005,0.0001366893,0.0002371523,0.00001114506,0.0002618025,2.473457e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009887304,"about_ca_system_score_gemma":0.00006610668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008481429,"about_ca_topic_score_gemma":0.000004076835,"domain_scores_codex":[0.9987029,0.00002729112,0.0004899188,0.0001130227,0.000313465,0.0003534074],"domain_scores_gemma":[0.9993226,0.000158402,0.0001107393,0.0001364684,0.0002020884,0.00006968565],"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":[0.00007339656,0.00002631556,0.01126641,0.000121792,0.00006316466,0.0000180299,0.0004260596,0.01228361,0.9646609,0.002847025,0.00001675753,0.008196499],"study_design_scores_gemma":[0.00201202,0.0006990185,0.09938349,0.0001430091,0.00004144761,0.0003168808,0.0001667446,0.8948458,0.002127347,0.00002237729,0.0001098107,0.0001321011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792904,0.003372138,0.01675603,0.0001337686,0.0001292777,0.0001639383,7.00946e-7,0.00002868387,0.0001250748],"genre_scores_gemma":[0.9996935,0.00004006588,0.0001538464,0.00001324696,0.00008760572,0.000003861841,1.524471e-8,0.000007276893,6.308209e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9625336,"threshold_uncertainty_score":0.3528048,"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."}}