{"id":"W2623510151","doi":"10.1049/iet-gtd.2016.1472","title":"Design of LCC HVDC wide‐area emergency power support control based on adaptive dynamic surface control","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Program for New Century Excellent Talents in University; National High-tech Research and Development Program; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Computer science; Control (management); Adaptive control; Control engineering; Control theory (sociology); Power (physics); Engineering; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005429343,0.0002814158,0.0003391236,0.00005009288,0.000407539,0.00005771846,0.000174185,0.0002491112,0.0004046931],"category_scores_gemma":[0.0000563894,0.0002630155,0.0001496896,0.00008748785,0.00003844727,0.0002992644,0.000003187697,0.0001816138,0.00002613295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160652,"about_ca_system_score_gemma":0.00006427539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000326336,"about_ca_topic_score_gemma":0.000007295787,"domain_scores_codex":[0.9982695,0.0001618731,0.00059551,0.0003135054,0.0003810145,0.0002786247],"domain_scores_gemma":[0.9988958,0.00004426405,0.0002308033,0.0004573242,0.0002341192,0.0001376524],"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":[0.0002786587,0.00008419228,0.0001833988,0.00003886438,0.00005042168,0.00000304094,0.00006358641,0.7096832,0.2836904,0.00005872469,0.003026702,0.002838835],"study_design_scores_gemma":[0.002289487,0.0004029184,0.003351635,0.00006342367,0.00005274298,0.000001755625,0.00001281418,0.9587979,0.03322755,0.000037115,0.001491533,0.0002711404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01900345,0.0001065855,0.9780378,0.0002858751,0.000756462,0.0009688893,0.0005064068,0.0001581407,0.0001763563],"genre_scores_gemma":[0.9988431,0.00004693927,0.0004344795,0.00002076266,0.00004897271,0.00007344889,0.0004172731,0.00003460458,0.00008045993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9798396,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751267906243486,"score_gpt":0.2359016272519389,"score_spread":0.2183889481895041,"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."}}