{"id":"W4390416500","doi":"10.1109/ecce53617.2023.10362203","title":"Power Hardware-In-The-Loop Emulation of a Brushless Dc Motor","year":2023,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Emulation; DC motor; Computer science; Transient (computer programming); Power (physics); Hardware-in-the-loop simulation; Motor drive; Torque; Brushed DC electric motor; Machine control; Control engineering; Control theory (sociology); Engineering; Simulation; Electric motor; AC motor; Control (management); Electrical engineering; Artificial intelligence; Physics; Operating system","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":[0.0001922155,0.00006727804,0.0001214882,0.0001098572,0.00001386833,0.00002145954,0.0000917951,0.00004233537,0.0001841631],"category_scores_gemma":[0.0000154017,0.0000513027,0.00004841562,0.0003056744,0.000005952412,0.00008294439,0.000006541688,0.00004339887,0.0002183594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001446756,"about_ca_system_score_gemma":0.000004919429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004766348,"about_ca_topic_score_gemma":0.00001764154,"domain_scores_codex":[0.9994056,0.00002606746,0.0002202707,0.00007193808,0.0001560523,0.0001200734],"domain_scores_gemma":[0.9996933,0.00007464136,0.00001933796,0.000168795,0.00002442843,0.00001953853],"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":[0.00004193588,0.00005407408,0.009352048,0.0001908074,0.00009018924,0.00001856134,0.003546543,0.8996432,0.06152152,0.009379072,0.009199223,0.006962819],"study_design_scores_gemma":[0.0006708251,0.00002072737,0.1014725,0.00002669233,0.000004658389,0.000001456159,0.0004823251,0.8905713,0.0005451301,0.0001281857,0.005951895,0.0001242887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9087802,0.00005269291,0.003006576,0.0001589379,0.0003061309,0.0003811753,0.000005276282,0.0003865887,0.08692243],"genre_scores_gemma":[0.9978442,0.000003728772,0.00001710519,0.00002449755,0.00003041994,0.0000166929,0.000006658679,0.00001288415,0.002043781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09212049,"threshold_uncertainty_score":0.2806641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206006973130805,"score_gpt":0.2345667263327565,"score_spread":0.2225066566014485,"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."}}