{"id":"W2141091007","doi":"10.1109/tec.2007.914400","title":"Saturation Modeling and Stability Analysis of Synchronous Reluctance Generator","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Saturation (graph theory); Magnetic reluctance; Permanent magnet synchronous generator; Generator (circuit theory); Transient (computer programming); Stability (learning theory); Steady state (chemistry); Electric power system; Power (physics); Mathematics; Computer science; Engineering; Physics; Magnet; Electrical engineering; Thermodynamics; Chemistry","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":[0.0002002751,0.0004520081,0.0003687193,0.0003135229,0.0001868691,0.0003539694,0.0005093053,0.0004156643,0.001611193],"category_scores_gemma":[0.000412912,0.0001798581,0.0004187504,0.0001777516,0.0003146734,0.0005844808,0.0002538169,0.000287974,0.0003892703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958419,"about_ca_system_score_gemma":0.0002817564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894161,"about_ca_topic_score_gemma":0.001497182,"domain_scores_codex":[0.9998879,0.0000408779,0.000005328065,0.00002149247,0.00003530967,0.000009041511],"domain_scores_gemma":[0.9998621,0.00005229275,0.00002994255,0.00001175759,0.00003943542,0.000004530252],"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":[0.0001458085,0.00002264597,0.0008057763,0.0001653987,0.00003482,0.000290712,0.0002694687,0.9189982,0.0411949,0.01810737,0.0008145852,0.01915035],"study_design_scores_gemma":[0.000002714165,0.00001817126,0.00008864893,0.000002236712,0.000003141607,0.00001999567,0.000007174194,0.997421,0.001291347,0.000836644,0.0003061054,0.000002897951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101432,0.0006342051,0.8800992,0.0002409424,0.00002938834,0.00005199273,0.00008536771,0.0009653334,0.01646164],"genre_scores_gemma":[0.9866776,0.0003148197,0.008618364,0.00001686407,0.00001565888,0.00004683297,0.00006066217,0.00004999227,0.004199232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002894161,"threshold_uncertainty_score":0.00575465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140467538345231,"score_gpt":0.1844528170300828,"score_spread":0.1730481416466305,"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."}}