{"id":"W4225140164","doi":"10.1016/j.segan.2022.100692","title":"An improved decentralized finite-time approach for excitation control of multi-area power systems","year":2022,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Excitation; Electric power system; Control (management); Power (physics); Control theory (sociology); Computer science; Engineering; Electrical engineering; Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004981249,0.0001663802,0.0003278153,0.0000843521,0.0002062873,0.00005336819,0.0001210645,0.0000872116,0.00003380091],"category_scores_gemma":[0.00002811951,0.0001667843,0.0000661428,0.0002186208,0.00002861663,0.0001441356,0.00002611494,0.00008662538,3.118413e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200425,"about_ca_system_score_gemma":0.00003229955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000926081,"about_ca_topic_score_gemma":0.00000209966,"domain_scores_codex":[0.9987965,0.000126546,0.0003475677,0.0002297183,0.0001084125,0.0003913195],"domain_scores_gemma":[0.9992988,0.0001168199,0.00008188833,0.0002251406,0.0001693481,0.0001079674],"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":[0.0001219781,0.00007962478,0.000106983,0.000137348,0.0000537046,0.00000120017,0.0002070044,0.995235,0.0001195687,0.003573275,0.0002615507,0.000102735],"study_design_scores_gemma":[0.001856131,0.000164684,0.0000556261,0.000003876952,0.00002235599,0.0000019829,0.002109564,0.9901103,0.000008877116,0.00003171268,0.005451095,0.0001837387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002484594,0.002443687,0.993772,0.000005768864,0.0002621236,0.0005480638,0.0000505985,0.0001311065,0.0003020602],"genre_scores_gemma":[0.9976369,0.00004535399,0.0009104607,0.00002191243,0.00001810819,0.0005035214,0.0002283189,0.00003663637,0.000598817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951523,"threshold_uncertainty_score":0.6801264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004980221398625784,"score_gpt":0.1901961071597476,"score_spread":0.1852158857611218,"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."}}