{"id":"W4382646345","doi":"","title":"A simple fuzzy control design for powertrain systems with three inertias","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Simple (philosophy); Powertrain; Fuzzy logic; Fuzzy control system; Control (management); Computer science; Control theory (sociology); Automotive engineering; Control engineering; Engineering; Artificial intelligence; Torque; 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":[0.0004262176,0.0006416435,0.0005349215,0.0003892597,0.0005222375,0.0007940408,0.0008677821,0.0007380301,0.002204889],"category_scores_gemma":[0.0006319778,0.0002517041,0.0006697391,0.0002599948,0.0004278916,0.0004374466,0.0005135312,0.0006375824,0.0003305533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219613,"about_ca_system_score_gemma":0.0006213197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003594262,"about_ca_topic_score_gemma":0.002749783,"domain_scores_codex":[0.9997386,0.00003113119,0.00001918954,0.00006247593,0.0001237897,0.00002475293],"domain_scores_gemma":[0.9998621,0.00003857407,0.00002189361,0.00001315831,0.00005425413,0.0000100392],"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":[0.0001351384,0.00009287947,0.0003633807,0.0005537601,0.00008050506,0.0003212367,0.0003021893,0.7180922,0.06752909,0.04050826,0.00142653,0.1705948],"study_design_scores_gemma":[0.00004223594,0.0001925145,0.0002551738,0.00002738144,0.00003260691,0.00005433928,0.00001935795,0.984964,0.00471177,0.004561557,0.005121004,0.00001801738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01020001,0.0002073919,0.9848114,0.00007490849,0.00006868039,0.00009589552,0.00002600214,0.0001948653,0.004320911],"genre_scores_gemma":[0.8417796,0.0003904294,0.1522818,0.00009609719,0.00008988495,0.000348929,0.0000721102,0.00002955586,0.004911597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003594262,"threshold_uncertainty_score":0.007376134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542013995022109,"score_gpt":0.4425161840839483,"score_spread":0.2883147845817374,"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."}}