{"id":"W2155383886","doi":"10.1109/icpst.2000.897115","title":"Power system reliability enhancement using unified power flow controllers","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Unified power flow controller; Reliability engineering; Reliability (semiconductor); Electric power system; Computer science; Transmission system; Electric power transmission; Flexible AC transmission system; Power transmission; Transmission (telecommunications); Power flow; Power (physics); Engineering; Electrical engineering; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000356376,0.0002140517,0.0003297292,0.00006473737,0.00008216272,0.00005300665,0.0001358319,0.000108786,0.00504214],"category_scores_gemma":[0.00003777362,0.0001909525,0.000107794,0.0002048229,0.00003130309,0.0001533631,0.00002273577,0.0001075914,0.000210446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287472,"about_ca_system_score_gemma":0.000009510924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110291,"about_ca_topic_score_gemma":0.000003369081,"domain_scores_codex":[0.9985642,0.00007997573,0.0005015295,0.000275575,0.0002465019,0.0003322535],"domain_scores_gemma":[0.999123,0.0000477489,0.00003948906,0.0005422104,0.0001050482,0.0001425309],"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":[0.00004999743,0.0002385107,0.001077443,0.0004249793,0.000201412,0.00001467733,0.001979224,0.9805306,0.002936451,0.002256791,0.01007943,0.0002105283],"study_design_scores_gemma":[0.000704957,0.00002581143,0.0001088918,0.00003030643,0.000009970598,0.000004591185,0.0003974928,0.9920513,0.0005872253,0.000003357645,0.005829335,0.0002467436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07301287,0.0002627401,0.5714263,0.00007706854,0.001942549,0.0006874324,0.00001580864,0.001052632,0.3515226],"genre_scores_gemma":[0.994452,0.000005610948,0.004462777,0.00004536783,0.00001093496,0.00001668698,0.000002315826,0.00002752935,0.0009767729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9214391,"threshold_uncertainty_score":0.9958674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245041820172085,"score_gpt":0.1976400692136133,"score_spread":0.1851896510118924,"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."}}