{"id":"W2308573983","doi":"10.1109/tpwrd.2015.2460460","title":"A Distributed Filtering Scheme to Mitigate Harmonics in Residential Distribution Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Harmonics; Scheme (mathematics); Harmonic; Filter (signal processing); Electronic engineering; Total harmonic distortion; Harmonic analysis; Interference (communication); Computer science; Engineering; Electronic filter; Voltage; Electrical engineering; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002817572,0.0002273329,0.0002468529,0.0001671254,0.0000741996,0.0001069368,0.0001908706,0.0001553449,0.00002639602],"category_scores_gemma":[0.00001063402,0.0002714912,0.00009364434,0.000453988,0.00002716949,0.0003024695,0.000003107341,0.0003855539,0.0002438546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005463218,"about_ca_system_score_gemma":0.0000593884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172555,"about_ca_topic_score_gemma":0.0001172295,"domain_scores_codex":[0.9985242,0.00006099911,0.0004165732,0.0002648662,0.0003090157,0.0004243416],"domain_scores_gemma":[0.9992319,0.000044358,0.00002831125,0.000315677,0.00008792931,0.0002918255],"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":[0.0002334165,0.0001910571,0.00001912293,0.00009569846,0.0001156967,0.00009987094,0.001243957,0.9769186,0.01007605,0.0001412608,0.01030182,0.0005633963],"study_design_scores_gemma":[0.006506717,0.0007787442,0.001748332,0.001266304,0.0001864809,0.0001354814,0.002724648,0.7295256,0.1549891,0.0002217706,0.09881674,0.003100085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4100818,0.0001805384,0.5863056,0.0001057176,0.001775059,0.0002339095,0.0008973957,0.0003036574,0.0001163701],"genre_scores_gemma":[0.9994594,0.0000563596,0.0001713542,0.00004548333,0.00002767173,0.00006816606,0.00006888153,0.00003595801,0.00006666631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5893777,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411480910182463,"score_gpt":0.2402378281554889,"score_spread":0.2061230190536642,"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."}}