{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006824188,0.00008289215,0.0001454479,0.00007205224,0.00001801486,0.00001896698,0.0000366085,0.00007820931,0.00007452533],"category_scores_gemma":[0.00003179704,0.00008377955,0.00004202165,0.0002772054,0.000003381636,0.0001231363,0.00001132203,0.00006997111,0.00001774948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005240655,"about_ca_system_score_gemma":0.00001861361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015401,"about_ca_topic_score_gemma":0.000009629982,"domain_scores_codex":[0.9994228,0.00001642993,0.0002289941,0.0001028658,0.0001198373,0.0001090181],"domain_scores_gemma":[0.9996612,0.00002001562,0.00002776452,0.0001341953,0.0001208397,0.00003596761],"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":[0.000002650416,0.00003099824,0.003650358,0.0001115597,0.0001079269,0.000005028087,0.0002641778,0.04746802,0.9462687,0.0003557737,0.0007136681,0.001021145],"study_design_scores_gemma":[0.0005364325,0.00001395495,0.008775964,0.00002577431,0.00002396472,0.00001385752,0.00008268914,0.8157861,0.1711104,0.00001383713,0.003469222,0.0001478935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987686,0.0002036974,0.007355296,0.00004880865,0.0006911355,0.00009013956,0.000002996425,0.0003741996,0.003547719],"genre_scores_gemma":[0.9958567,0.000005518488,0.003361194,0.0000116608,0.0005438102,0.000005340641,0.00001802674,0.00002122306,0.0001764956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751583,"threshold_uncertainty_score":0.3416431,"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."}}