{"id":"W2895964776","doi":"10.1109/sege.2018.8499516","title":"Incorporating Saturation in Permanent-Magnetic Synchronous Generator Modeling for All-Electric Ship Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Permanent magnet synchronous generator; Computer science; Network topology; Voltage; Generator (circuit theory); Electric power system; Component (thermodynamics); Power (physics); Automotive engineering; Control engineering; Engineering; Electrical engineering","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":[0.0001690685,0.0004672659,0.0003463066,0.0002767626,0.0001968305,0.0004332163,0.0004980797,0.0006292876,0.001532775],"category_scores_gemma":[0.0004937184,0.000174721,0.000439033,0.0002480276,0.0002385774,0.0005494344,0.0002310306,0.0003505432,0.0003391862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003214519,"about_ca_system_score_gemma":0.000354205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737499,"about_ca_topic_score_gemma":0.003163989,"domain_scores_codex":[0.9999167,0.00003142886,0.000004516768,0.00001136081,0.00002799561,0.000007981199],"domain_scores_gemma":[0.999872,0.00006288959,0.0000212762,0.00001140422,0.00002839353,0.000003979991],"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":[0.00002772946,0.00001853278,0.0006751436,0.0000966125,0.00001302885,0.000172717,0.00008568974,0.9779258,0.006274537,0.004794318,0.0003608879,0.009555107],"study_design_scores_gemma":[0.000002590565,0.00001746144,0.0001182963,0.000004612314,0.00000446469,0.00001916252,0.000009183622,0.9974764,0.0006198381,0.001020554,0.0007054959,0.000001916957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06555113,0.0005919166,0.9153484,0.0001951931,0.00005627477,0.00008678426,0.0001602491,0.0005590059,0.01745095],"genre_scores_gemma":[0.9774303,0.0005051884,0.01678125,0.00003193116,0.00001728333,0.00007955443,0.00009184838,0.00005475476,0.005008011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002737499,"threshold_uncertainty_score":0.005443156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885111852220567,"score_gpt":0.2326210564080781,"score_spread":0.2137699378858724,"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."}}