{"id":"W2113812915","doi":"10.1109/tec.2002.805227","title":"Use of a permeance model to predict force harmonic components and damper winding effects in salient-pole synchronous machines","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada); University of Alberta","funders":"","keywords":"Permeance; Damper; Harmonics; Finite element method; Salient; Harmonic; Harmonic analysis; Control theory (sociology); Electromagnetic coil; Shock absorber; Synchronous motor; Engineering; Structural engineering; Computer science; Physics; Electronic engineering; Acoustics; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005094803,0.0001233769,0.0001578872,0.0001186799,0.0001343837,0.00002512926,0.0001162672,0.00005090448,0.0001448083],"category_scores_gemma":[0.000003395806,0.0001122901,0.00003587318,0.000134061,0.00006579296,0.0001682142,0.000005492312,0.00006123113,0.00001645868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000530963,"about_ca_system_score_gemma":0.000008898744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006369429,"about_ca_topic_score_gemma":0.0000478001,"domain_scores_codex":[0.9991583,0.00003908893,0.0001828322,0.000275098,0.0001553158,0.0001893894],"domain_scores_gemma":[0.9995646,0.0000650843,0.00004410892,0.0002132152,0.00002392049,0.00008905125],"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":[0.00006456747,0.000187046,0.00003804901,0.00005367483,0.000004566849,0.000001332302,0.000389231,0.09712759,0.895619,0.00008605536,0.00009608151,0.006332772],"study_design_scores_gemma":[0.0004777498,0.0001459333,0.0002244128,0.0001062737,0.0000174085,0.000002597347,0.00001629947,0.6652026,0.333482,0.00003088799,0.0001702964,0.0001236214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685854,0.00005492834,0.2308304,0.0001505222,0.0001178449,0.0001540988,0.00002503974,0.00003000853,0.000051707],"genre_scores_gemma":[0.9972926,0.0001263411,0.001484617,0.0002022104,0.000007464583,0.00005474337,0.000001651331,0.00001307522,0.0008173163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5680749,"threshold_uncertainty_score":0.4579059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405781562420346,"score_gpt":0.2113279184198275,"score_spread":0.1872701027956241,"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."}}