{"id":"W3111859430","doi":"10.3390/en13236448","title":"Experimental Platform for Evaluation of On-Board Real-Time Motion Controllers for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Controller (irrigation); Torque; Hardware-in-the-loop simulation; Traction control system; Engineering; Electric vehicle; Control system; Control engineering; Automotive engineering; Motor controller; Computer science; Simulation","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":[0.0005827506,0.000727507,0.0003015878,0.0004552093,0.0002611734,0.0003600746,0.0009846846,0.0004591166,0.006093639],"category_scores_gemma":[0.001012507,0.0001350975,0.0002669328,0.0001946952,0.0002768782,0.0004031515,0.0003293131,0.0004177958,0.0009118298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058276,"about_ca_system_score_gemma":0.0004848661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009380789,"about_ca_topic_score_gemma":0.0007582086,"domain_scores_codex":[0.9995922,0.00007969944,0.00002989259,0.0000691629,0.0001591125,0.00006996709],"domain_scores_gemma":[0.9993284,0.0001581905,0.00006910753,0.0001517349,0.0002341512,0.0000584728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001686972,0.003049494,0.009279777,0.001362811,0.0001555522,0.0005334035,0.0005037484,0.1333947,0.7316056,0.007095956,0.004504882,0.106827],"study_design_scores_gemma":[0.0004312802,0.008542378,0.01033421,0.00006651631,0.0001227224,0.0002081373,0.0002608454,0.3614967,0.5974392,0.001124107,0.01990945,0.00006444954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6996304,0.0002068945,0.2829048,0.0001152107,0.0002738228,0.001180981,0.001215238,0.005051865,0.009420797],"genre_scores_gemma":[0.9707096,0.0000744625,0.02474243,0.00002817776,0.00001223029,0.0004752912,0.0007375361,0.00009953936,0.003120626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006093639,"threshold_uncertainty_score":0.02038527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819479787165977,"score_gpt":0.2406220406928779,"score_spread":0.2224272428212181,"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."}}