{"id":"W2018452049","doi":"10.1515/ijeeps-2013-0018","title":"Robust Global Control Strategies for Improvement of Angular Stability using FACTS and HVDC Devices","year":2013,"lang":"en","type":"article","venue":"International Journal of Emerging Electric Power Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Swing; Computer science; Electric power system; Grid; Heuristic; Control theory (sociology); Stability (learning theory); Control engineering; Controller (irrigation); Power (physics); Control (management); 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":[0.0005353417,0.0001530837,0.0003503476,0.0001433265,0.00003100701,0.0001480518,0.0002398986,0.00006253496,0.00002733343],"category_scores_gemma":[0.00008012679,0.0001339338,0.0001073475,0.0001369947,0.00002790356,0.0005265161,0.00001493093,0.00008415177,4.76957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815422,"about_ca_system_score_gemma":0.0001110746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002277374,"about_ca_topic_score_gemma":0.00001168356,"domain_scores_codex":[0.9983604,0.00004630079,0.0008626748,0.0001243433,0.0004040483,0.0002022355],"domain_scores_gemma":[0.998259,0.00008989131,0.0004040725,0.0001079134,0.00104968,0.00008940972],"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":[0.0002159672,0.0002651404,0.03095769,0.0009369323,0.002490258,0.00001178642,0.001616896,0.8879774,0.06936582,0.003340622,0.001241618,0.001579869],"study_design_scores_gemma":[0.002321426,0.0003463395,0.005337074,0.0002471867,0.00008534892,0.0001283994,0.003041998,0.9854386,0.001670185,0.0003249205,0.0007199225,0.0003385907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5079575,0.001841337,0.488192,0.0000432407,0.001417316,0.000309962,0.00003080293,0.00002045849,0.0001873631],"genre_scores_gemma":[0.9992661,0.00001919835,0.0006271903,0.00001460646,0.00004787238,0.000007579542,0.000001672847,0.00001260573,0.000003173677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4913086,"threshold_uncertainty_score":0.5461662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744927822770146,"score_gpt":0.2473019167380213,"score_spread":0.2298526385103198,"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."}}