{"id":"W2102222662","doi":"10.1109/tpwrd.2004.824428","title":"Online Tracking of Voltage Flicker Utilizing Energy Operator and Hilbert Transform","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker; Tracking (education); Electronic engineering; Control theory (sociology); Voltage; Hilbert transform; Computer science; Energy (signal processing); Tracking error; Engineering; Artificial intelligence; Electrical engineering; Mathematics; Telecommunications; Control (management); Spectral density","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":[0.0001773957,0.0002261324,0.0003586184,0.0001807368,0.00009799427,0.00002836802,0.0001141228,0.0001526254,0.00009159161],"category_scores_gemma":[0.000003094716,0.0002317579,0.0001729364,0.0001890604,0.00006976798,0.0003202577,7.873783e-7,0.0002936728,0.000006964273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008440523,"about_ca_system_score_gemma":0.00004044667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684551,"about_ca_topic_score_gemma":0.0002916709,"domain_scores_codex":[0.9988458,0.00002355245,0.0004680189,0.0002086847,0.0001897264,0.0002642562],"domain_scores_gemma":[0.9995005,0.00008885653,0.00003193051,0.0002077731,0.00005240999,0.000118605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004662679,0.002565144,0.00001960503,0.0006826387,0.001607741,0.0001130281,0.01732186,0.4558373,0.279994,0.00425215,0.000351901,0.2367884],"study_design_scores_gemma":[0.002733232,0.0004298531,0.0003180153,0.0004850204,0.0002630485,0.00006568692,0.001416935,0.01347065,0.9634619,0.000547441,0.01583887,0.0009693739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3785401,0.001054906,0.6183249,0.0001077368,0.0005405258,0.000110422,0.0002423605,0.0002119506,0.0008670995],"genre_scores_gemma":[0.9977376,0.001353325,0.0005459308,0.000214649,0.00001713991,0.000009626151,0.000006676081,0.00004571386,0.00006932542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6834679,"threshold_uncertainty_score":0.9450811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983441558013663,"score_gpt":0.228904167427894,"score_spread":0.2090697518477573,"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."}}