{"id":"W2140079691","doi":"10.1109/tpwrd.2011.2118770","title":"Mitigation of Arc Furnace Voltage Flicker Using an Innovative Scheme of Adaptive Notch Filters","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Flicker; Control theory (sociology); Electronic engineering; Band-stop filter; Waveform; Voltage; Compensation (psychology); Engineering; Electric power system; Computer science; Power (physics); Electrical engineering; Low-pass filter; Filter (signal processing); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001764503,0.0003173799,0.000184062,0.0003144988,0.0001882286,0.0002515628,0.0005800458,0.0003574172,0.0008625523],"category_scores_gemma":[0.0004249018,0.00009354971,0.0001672625,0.0001553194,0.0001724694,0.0004136504,0.0001819309,0.000311255,0.0001780225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859392,"about_ca_system_score_gemma":0.0001532342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588244,"about_ca_topic_score_gemma":0.0006581455,"domain_scores_codex":[0.999881,0.0000145545,0.000009501916,0.00002627401,0.00005663401,0.00001202664],"domain_scores_gemma":[0.999817,0.00004510044,0.00003284355,0.00002679319,0.00006584273,0.00001252932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004660519,0.0001383909,0.001010668,0.0001561602,0.00005041688,0.0001801329,0.0001306703,0.02050388,0.5475166,0.004963039,0.0005144837,0.4243696],"study_design_scores_gemma":[0.0001188944,0.001273423,0.002993267,0.00004118391,0.0001242873,0.0008674333,0.00004255096,0.4196084,0.5541141,0.003009612,0.01774777,0.00005908969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06499468,0.0003379793,0.9314859,0.00005369081,0.00005708314,0.00004894692,0.00001371448,0.0005118739,0.002496114],"genre_scores_gemma":[0.7947662,0.0003150514,0.2023268,0.00005798396,0.00006824724,0.00003547809,0.00002749227,0.00002010185,0.002382613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008625523,"threshold_uncertainty_score":0.002885461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932781452875532,"score_gpt":0.249128721204731,"score_spread":0.1798009066759756,"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."}}