{"id":"W4396213986","doi":"10.2316/j.2023.203-0422","title":"OPTIMISED QUADRATURE AXIS CURRENT-BASED REGENERATIVE BRAKING OF INDUCTION MOTOR FOR ULTRACAPACITOR-DRIVEN ELECTRICAL VEHICLE, 1-10.","year":2023,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Regenerative brake; Automotive engineering; Current (fluid); Induction motor; Supercapacitor; Quadrature (astronomy); Engineering; Electrical engineering; Physics; Voltage; Brake; Capacitance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002358972,0.0001221651,0.0002556181,0.0004883715,0.00003315364,0.00005342063,0.0001659007,0.0000927062,0.00001095928],"category_scores_gemma":[0.00006791855,0.0001059821,0.0001674966,0.0002930542,0.00001820297,0.0001407873,0.000005429079,0.0001424672,7.854101e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000870774,"about_ca_system_score_gemma":0.00003738133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535992,"about_ca_topic_score_gemma":0.000001335858,"domain_scores_codex":[0.9988931,0.00004816986,0.0004557992,0.0001039593,0.0003574922,0.0001414635],"domain_scores_gemma":[0.9990174,0.0001569645,0.0002150444,0.00006034248,0.000478244,0.00007196657],"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":[0.0007134041,0.000168403,0.0008106242,0.0001720904,0.00220511,0.0000487136,0.0008522984,0.3933859,0.5271051,0.006437371,0.02260733,0.04549367],"study_design_scores_gemma":[0.001632069,0.0004138241,0.0005488085,0.000330712,0.00009571813,0.00006211938,0.00009405916,0.9514254,0.02274318,0.0001233477,0.02224505,0.0002857489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868196,0.009140269,0.3921646,0.0003056493,0.01021807,0.0002398384,0.0001543413,0.0001968023,0.0007607843],"genre_scores_gemma":[0.9983585,0.0001968545,0.0003210608,0.000008865594,0.000712997,0.00001114708,0.00002158977,0.00001910314,0.0003499141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5580395,"threshold_uncertainty_score":0.4321825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347652201035171,"score_gpt":0.2472761394191156,"score_spread":0.2337996174087638,"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."}}