{"id":"W4320712893","doi":"10.1109/access.2023.3244826","title":"Experimental Validation of a Mitigation Method of Ferranti Effect in Transmission Line","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Qatar National Library; Palestine Technical University Kadoorie","keywords":"Transmission line; Computer science; Voltage; Electric power transmission; Shunt (medical); Transmission (telecommunications); Control theory (sociology); Compensation (psychology); Electric power system; Power (physics); Electronic engineering; Simulation; Electrical engineering; Control (management); Engineering; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225604,0.0005473512,0.0002265246,0.0002844884,0.0002768544,0.0002248752,0.0007664812,0.0004920796,0.002011656],"category_scores_gemma":[0.001133848,0.0001370005,0.000200963,0.000260018,0.0003937476,0.0004388311,0.0002465864,0.0004097147,0.0002709902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812339,"about_ca_system_score_gemma":0.0002000953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006111661,"about_ca_topic_score_gemma":0.0008233854,"domain_scores_codex":[0.9996332,0.0001030622,0.00002122279,0.00007681963,0.0001305568,0.000035131],"domain_scores_gemma":[0.9991879,0.0002466211,0.0001437208,0.0001766695,0.000219399,0.00002569574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009098558,0.0009596581,0.0032385,0.0005593941,0.00005111512,0.0003276592,0.0003597798,0.05180217,0.9106212,0.00213221,0.00107395,0.02796443],"study_design_scores_gemma":[0.0001456378,0.003741157,0.004370274,0.00002275988,0.00005262997,0.0001391927,0.0001034157,0.1287897,0.8596621,0.0004452759,0.002493326,0.00003460816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956974,0.0001149556,0.09821191,0.0001593084,0.0001195564,0.0001895876,0.0003437455,0.0009266621,0.004236857],"genre_scores_gemma":[0.9900406,0.00004088659,0.00896686,0.00001263632,0.000007355731,0.00005038498,0.00006712474,0.0000219562,0.0007922314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002011656,"threshold_uncertainty_score":0.006729662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982981564070957,"score_gpt":0.3498817224068546,"score_spread":0.320051906766145,"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."}}