{"id":"W4206145542","doi":"10.1177/09544062211064797","title":"Coordinated control for path-following of an autonomous four in-wheel motor drive electric vehicle","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Controller (irrigation); Parametric statistics; Electric vehicle; Vehicle dynamics; MATLAB; Engineering; Computer science; Control engineering; Control (management); Automotive engineering; Power (physics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003304081,0.0005670797,0.0003646413,0.00030433,0.0004462494,0.0005319838,0.0005750788,0.000260483,0.0008463484],"category_scores_gemma":[0.0004416232,0.0002242474,0.0002721775,0.00016942,0.000361246,0.00027134,0.0007639679,0.0003879533,0.0001221198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029434,"about_ca_system_score_gemma":0.0007158305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007662401,"about_ca_topic_score_gemma":0.006051869,"domain_scores_codex":[0.9997538,0.00003369948,0.00001104681,0.00007187137,0.0000757028,0.00005390494],"domain_scores_gemma":[0.9997099,0.00004927132,0.0000807976,0.00002329067,0.0001073292,0.00002935032],"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":[0.0003515007,0.0001005821,0.001876576,0.0001245922,0.00006543726,0.0002622558,0.0002177806,0.8877065,0.0362961,0.003429094,0.001024675,0.06854491],"study_design_scores_gemma":[0.00003106011,0.0002598893,0.0008443487,0.000003796919,0.00001951185,0.000020897,0.0000242945,0.9943558,0.003283343,0.0004498448,0.0007003765,0.000006834128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2181159,0.0002631446,0.7740194,0.0001200519,0.0001025511,0.0000762171,0.00005442847,0.0008095287,0.006438812],"genre_scores_gemma":[0.9946623,0.00002933387,0.00468254,0.000008776386,0.000005623308,0.000027057,0.00002140699,0.000004017485,0.0005590987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007662401,"threshold_uncertainty_score":0.0152356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006115555911631688,"score_gpt":0.1955864523626382,"score_spread":0.1894708964510066,"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."}}