{"id":"W3046498450","doi":"10.1109/tpwrs.2020.3012917","title":"WAMS-Based Model-Free Wide-Area Damping Control by Voltage Source Converters","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoupling (probability); Converters; Voltage source; Network topology; Control theory (sociology); Grid; Controller (irrigation); Voltage; Computer science; Engineering; Topology (electrical circuits); Electronic engineering; Control engineering; Control (management); Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002037906,0.0003725964,0.0005088969,0.0001033272,0.0001536658,0.0001264371,0.0003772458,0.0001936518,0.0001287966],"category_scores_gemma":[0.00001589859,0.0003875234,0.0002092236,0.0002859594,0.00005114119,0.0002224392,0.000001142926,0.0003284937,0.00009630847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841465,"about_ca_system_score_gemma":0.0000495975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004010895,"about_ca_topic_score_gemma":0.0000156295,"domain_scores_codex":[0.9980433,0.00009677254,0.0006202883,0.0004301043,0.0003971176,0.0004123902],"domain_scores_gemma":[0.9986666,0.0001584515,0.00007500415,0.000649134,0.00008747281,0.0003633081],"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":[0.00005450503,0.0000484807,0.00003960637,0.0001744077,0.0001018973,0.000002895585,0.0006571938,0.9861038,0.001548916,0.000008982998,0.01123541,0.00002392221],"study_design_scores_gemma":[0.001786191,0.00007884733,0.000002366529,0.00007106124,0.0000422624,0.000002922052,0.0002236014,0.9872182,0.001760786,0.00000115398,0.00842518,0.0003874262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008765228,0.0001860891,0.9928435,0.0003660615,0.001649503,0.0007261538,0.0005378989,0.001260948,0.00155329],"genre_scores_gemma":[0.9984714,0.000005137648,0.00009630931,0.0008738667,0.000005176442,0.0001319106,0.00001178854,0.00009219706,0.0003121592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997595,"threshold_uncertainty_score":0.9998577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153833161386079,"score_gpt":0.1840159190480966,"score_spread":0.1724775874342358,"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."}}