{"id":"W1844910296","doi":"10.1109/pedes.1996.536413","title":"Noise and vibrations of electrical machines and drives; their production and means of reduction","year":2002,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Noise (video); Vibration; Noise reduction; Squirrel-cage rotor; Computer science; Production (economics); Mechanism (biology); Reduction (mathematics); Electric motor; Acoustics; Electromagnetic noise; Induction motor; Engineering; Electrical engineering; Physics; Voltage; Artificial intelligence; Mathematics","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":[0.00006181979,0.00004304402,0.00007535486,0.00002225841,0.0000618539,0.00001230425,0.00002367247,0.00001820723,0.0001607882],"category_scores_gemma":[0.00003008731,0.00002953843,0.000006076843,0.00007249807,0.0001391916,0.00008257141,0.0000204749,0.00001895301,6.652604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001869369,"about_ca_system_score_gemma":0.000003075257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004904668,"about_ca_topic_score_gemma":0.00001039435,"domain_scores_codex":[0.9996376,0.00001632462,0.0001213893,0.0001286102,0.00004541427,0.00005065353],"domain_scores_gemma":[0.9998,0.00001089052,0.00004266692,0.00008778688,0.00003489382,0.00002381],"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":[0.00000440196,0.00003686083,0.0002009659,0.00001736988,0.000001349846,9.181031e-9,0.0003899714,0.0000071391,0.9848709,0.004096211,0.0002197633,0.01015502],"study_design_scores_gemma":[0.0002068932,0.0002607798,0.009785611,0.00001899136,0.00003000379,0.00005384451,0.0002493,0.05653698,0.9289611,0.003300716,0.0004690247,0.0001267595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960223,0.000502547,0.0006950582,0.001432139,0.00002266847,0.000145338,0.000004212188,0.00001389194,0.001161886],"genre_scores_gemma":[0.9950089,0.0003950063,0.003854077,0.000007333068,0.0000253718,0.00001105648,5.695532e-7,0.000002582719,0.0006950923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05652985,"threshold_uncertainty_score":0.1760518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368393971068149,"score_gpt":0.2057118393519404,"score_spread":0.1920278996412589,"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."}}