{"id":"W4406356172","doi":"10.1109/intermag56625.2024.10830466","title":"Enhancing Noise and Vibration Performance for a Traction Squirrel Cage Induction Machine Through Rotor Design Optimization","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Squirrel-cage rotor; Traction (geology); Rotor (electric); Vibration; Cage; Computer science; Noise (video); Automotive engineering; Induction motor; Engineering; Acoustics; Control theory (sociology); Structural engineering; Electrical engineering; Mechanical engineering; Physics; Artificial intelligence; Voltage","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":[0.0003991851,0.0005150926,0.000301834,0.0003138426,0.000189967,0.0004231945,0.0003205375,0.0003805069,0.001003629],"category_scores_gemma":[0.000579875,0.0001573005,0.0003253459,0.0001686616,0.0002783575,0.0002061056,0.0001975663,0.0002075104,0.0002395601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002619689,"about_ca_system_score_gemma":0.0003224731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003680463,"about_ca_topic_score_gemma":0.0007275559,"domain_scores_codex":[0.9998406,0.00003788009,0.000006599784,0.00002115075,0.00007753131,0.000016262],"domain_scores_gemma":[0.9998232,0.00006475789,0.00005004861,0.00001134684,0.00004371157,0.000007009637],"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":[0.0002525066,0.0001594771,0.002082544,0.000612342,0.00004448814,0.0001717242,0.0001052887,0.7886416,0.1346259,0.004481236,0.0006321312,0.06819076],"study_design_scores_gemma":[0.00002397531,0.0009077641,0.001293838,0.00002035564,0.00003761063,0.00005946268,0.00004143567,0.9799535,0.01504682,0.00069779,0.001907456,0.000009903248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3927652,0.0008269542,0.5861597,0.0002345426,0.00005721151,0.000153843,0.00008301068,0.0003663354,0.01935316],"genre_scores_gemma":[0.9504539,0.0001987804,0.04764723,0.00001526714,0.000008803552,0.00008301247,0.00003658906,0.00003229903,0.001524048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001003629,"threshold_uncertainty_score":0.00335747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498886162217934,"score_gpt":0.2229177580008282,"score_spread":0.2079288963786488,"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."}}