{"id":"W3018208264","doi":"10.1109/epec47565.2019.9074833","title":"Modeling and Step Response Analysis of Back-to-Back VSC for LFAC Transmission","year":2019,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Grid; Offshore wind power; Fault (geology); HVAC; HVDC converter; Compensation (psychology); Voltage source; Maximum power transfer theorem; HVDC converter station; Transmission (telecommunications); Transmission system; Engineering; Electronic engineering; Electrical engineering; Computer science; Control theory (sociology); Power (physics); Wind power; Voltage; Physics; Mechanical engineering; Mathematics","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":[0.0002702813,0.00007236395,0.0002005286,0.000189377,0.00001449546,0.00001069337,0.00003380937,0.00006321599,0.0001467283],"category_scores_gemma":[0.000006166092,0.00006068563,0.00007229864,0.0002666063,0.000002215731,0.00005656719,0.000004711519,0.00003192007,0.00002836814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685557,"about_ca_system_score_gemma":0.00000413427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008968951,"about_ca_topic_score_gemma":0.0000178772,"domain_scores_codex":[0.9995035,0.00001789869,0.000192754,0.0001197006,0.00006630633,0.00009981785],"domain_scores_gemma":[0.9997435,0.00003653283,0.00001060965,0.0001247291,0.00003272006,0.00005189835],"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":[0.0002454865,0.000005296567,0.0001324535,0.0001684514,0.000167559,5.761759e-8,0.000370933,0.8514429,0.1403409,0.00001963924,0.00007526217,0.007031007],"study_design_scores_gemma":[0.0002642505,0.00006700024,0.0003063392,0.00003038468,0.00005796338,3.491032e-7,0.00009644514,0.9916821,0.003664615,0.00000377678,0.003743824,0.00008298951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4971661,0.0000439461,0.5021168,0.00001890979,0.00003142268,0.0002381385,0.000004317597,0.00002284002,0.0003575176],"genre_scores_gemma":[0.989418,0.000009160559,0.00935049,0.00000808771,0.00001019765,0.00001107613,0.000002896558,0.00001361669,0.001176452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4927663,"threshold_uncertainty_score":0.2474688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326905493654789,"score_gpt":0.2357451174119121,"score_spread":0.2224760624753642,"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."}}