{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019103,0.0003937749,0.0003849378,0.0002358049,0.0002570138,0.0005483676,0.0008264399,0.0003414537,0.004142664],"category_scores_gemma":[0.0002689384,0.0001773705,0.0001675858,0.0001734363,0.0001741749,0.000284394,0.0002626342,0.0003118998,0.001226481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368677,"about_ca_system_score_gemma":0.0003543058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009094966,"about_ca_topic_score_gemma":0.002876401,"domain_scores_codex":[0.9998597,0.00001257357,0.000006757376,0.00001961344,0.00008093658,0.00002035171],"domain_scores_gemma":[0.9998786,0.0000230437,0.00002290626,0.00001330982,0.00005339102,0.00000867607],"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":[0.001732959,0.0003156935,0.001258726,0.001771004,0.00007622725,0.0002262065,0.0002354204,0.1186788,0.6549516,0.003992185,0.005008222,0.2117531],"study_design_scores_gemma":[0.0001797551,0.001607609,0.004305713,0.00007505552,0.0000689673,0.0002733392,0.0001251894,0.7732213,0.1984404,0.001079872,0.02056663,0.00005607889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2986213,0.003832916,0.6562712,0.0003175086,0.0003417417,0.0003952823,0.0004528055,0.002310588,0.03745658],"genre_scores_gemma":[0.9612677,0.0002775319,0.0321484,0.00001944125,0.000009857685,0.00005835817,0.0001417062,0.00007863854,0.005998398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004142664,"threshold_uncertainty_score":0.01385862,"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."}}