{"id":"W3113524632","doi":"10.1109/pesgm41954.2020.9281476","title":"Identification of Sub-Synchronous Interaction in MMC Systems using Frequency Scanning","year":2020,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; RTDS Technologies (Canada)","funders":"","keywords":"Nyquist stability criterion; Bode plot; Frequency domain; Control theory (sociology); Oscillation (cell signaling); Nyquist plot; Stability (learning theory); Computer science; Nyquist frequency; Modular design; Low-frequency oscillation; Coupling (piping); SIGNAL (programming language); Frequency response; Time domain; Electronic engineering; Transfer function; Engineering; Mathematics; Physics; Electric power system; Bandwidth (computing); 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":[0.000190716,0.0004199763,0.0002937896,0.00034799,0.0001504714,0.0002666548,0.0002866356,0.0003146428,0.001074023],"category_scores_gemma":[0.0007548943,0.0001540423,0.0002669272,0.0001955335,0.0002547656,0.000409751,0.0002488901,0.0002476384,0.000154136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138039,"about_ca_system_score_gemma":0.0002712925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587212,"about_ca_topic_score_gemma":0.001997719,"domain_scores_codex":[0.9998683,0.00003489148,0.000005872937,0.00003022972,0.00005176953,0.00000906173],"domain_scores_gemma":[0.9996808,0.0001720953,0.00006772671,0.00003924861,0.0000310483,0.000009124317],"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":[0.0001793291,0.00006285291,0.009100483,0.0002400813,0.00004679164,0.0003346959,0.0004481734,0.7965809,0.09505056,0.006143986,0.0003257321,0.09148648],"study_design_scores_gemma":[0.000005110549,0.00005267657,0.001419144,0.000006401397,0.00000509302,0.00006291785,0.00002152993,0.9905309,0.006597256,0.0006399588,0.0006525301,0.000006454286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2469209,0.0001093609,0.7478504,0.00005140316,0.00001183549,0.00006180167,0.00006109139,0.0007029462,0.004230316],"genre_scores_gemma":[0.9646494,0.00006364278,0.03462867,0.000008096597,0.000003395866,0.00003560866,0.00003309982,0.00003181185,0.0005462038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001587212,"threshold_uncertainty_score":0.003592968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366309506854931,"score_gpt":0.2451618797986106,"score_spread":0.2214987847300613,"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."}}