{"id":"W3214371779","doi":"10.1109/iecon48115.2021.9589951","title":"Emulation of A Self-Excited Induction Generator Feeding Nonlinear Loads","year":2021,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Emulation; Induction generator; Harmonics; Nonlinear system; Control theory (sociology); Generator (circuit theory); Computer science; Electricity generation; Control engineering; Engineering; Power (physics); Electrical engineering; Voltage; Physics","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":[0.0001769033,0.0003025277,0.0002648909,0.0002054715,0.0001448705,0.0002373778,0.000428527,0.000411267,0.001143431],"category_scores_gemma":[0.0002539682,0.00008327705,0.0002001854,0.0001370638,0.0002677551,0.0004286916,0.0001888464,0.0003148979,0.00019138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387409,"about_ca_system_score_gemma":0.0001149209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003467308,"about_ca_topic_score_gemma":0.0002409128,"domain_scores_codex":[0.9999222,0.00002717332,0.000003760937,0.000009303669,0.00002946634,0.000008085781],"domain_scores_gemma":[0.999867,0.00005201249,0.00001836676,0.00002338246,0.00003011708,0.000009140198],"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":[0.001066656,0.0002640622,0.005605938,0.0004435954,0.0001337898,0.002561148,0.0009545234,0.4902685,0.4171452,0.01239511,0.001719849,0.06744182],"study_design_scores_gemma":[0.00004828244,0.0005330384,0.00268066,0.0000158104,0.00001927486,0.0002642962,0.0000974525,0.9104198,0.08322071,0.0006825316,0.002003626,0.00001452518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426207,0.00009105385,0.1436265,0.0001537439,0.00004316164,0.00007325444,0.000120579,0.0006443672,0.0126265],"genre_scores_gemma":[0.9942404,0.0000374319,0.004118927,0.00001293174,0.000003586298,0.0000148056,0.00003672618,0.00002183111,0.001513472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001143431,"threshold_uncertainty_score":0.003825128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008973017532351801,"score_gpt":0.1982386607609063,"score_spread":0.1892656432285545,"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."}}