{"id":"W2099799130","doi":"10.1109/pess.2002.1043530","title":"Tuning, performance and interactions of PSS and FACTS controllers","year":2003,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Control theory (sociology); Control engineering; Control (management); 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":[],"consensus_categories":[],"category_scores_codex":[0.00005188095,0.00003626796,0.00007043216,0.00002333735,0.00001673449,0.000007286144,0.00001019754,0.00001239882,0.00009441021],"category_scores_gemma":[0.00001738992,0.00003158664,0.000006577251,0.00003015724,0.00001458551,0.00007697407,0.000002762589,0.0000256678,0.000001062665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006088398,"about_ca_system_score_gemma":0.000002905984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003040846,"about_ca_topic_score_gemma":0.00001124226,"domain_scores_codex":[0.999797,0.000008966092,0.00008370727,0.00004073896,0.00002352283,0.00004604815],"domain_scores_gemma":[0.9998775,0.00002147868,0.00000887717,0.0000486582,0.00001411205,0.00002934876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007850154,0.0001649952,0.7467811,0.001647327,0.000434024,0.000002401257,0.01114784,0.1844465,0.01116156,0.02368967,0.006872713,0.01357343],"study_design_scores_gemma":[0.001560929,0.00005173921,0.06184379,0.00004443939,0.0000154104,0.00002368318,0.001017919,0.8964804,0.004497996,0.00002535922,0.03419648,0.0002418495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239377,0.0001213136,0.03847631,0.00001549202,0.0001453119,0.00008170247,0.00000194786,0.00005695128,0.1371632],"genre_scores_gemma":[0.9989533,0.0000421095,0.0005971669,0.000007304181,8.703137e-7,0.000001846454,3.16431e-7,0.00000300865,0.0003940208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7120339,"threshold_uncertainty_score":0.1288066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141458791840197,"score_gpt":0.1986667641535231,"score_spread":0.1905253053616829,"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."}}