{"id":"W2115480908","doi":"10.1109/tie.2006.882002","title":"Synchronization to Disturbed Utility-Network Signals Using a Multirate Phase-Locked Loop","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Oversampling; SIGNAL (programming language); Synchronization (alternating current); Phase-locked loop; Computer science; Filter (signal processing); Signal transfer function; Anti-aliasing filter; Noise (video); Control theory (sociology); Electronic engineering; Low-pass filter; Root-raised-cosine filter; Analog signal; Engineering; Digital signal processing; Bandwidth (computing); Jitter; Telecommunications; 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":[0.0005014741,0.000299855,0.0003528097,0.0003443376,0.0002124242,0.0005566191,0.0007177807,0.0002954049,0.001360336],"category_scores_gemma":[0.001317973,0.0001305428,0.0001720361,0.0002031424,0.0002753781,0.000466586,0.0003485215,0.0003232333,0.0003532762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741278,"about_ca_system_score_gemma":0.0002388699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003369732,"about_ca_topic_score_gemma":0.0005323163,"domain_scores_codex":[0.9995988,0.0001074136,0.00003100341,0.0000825582,0.0001549656,0.00002539762],"domain_scores_gemma":[0.999562,0.0001348818,0.0001181368,0.00008632158,0.00007717137,0.00002146993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001427039,0.0002448692,0.004027909,0.0003907404,0.00008930682,0.0005628084,0.000787057,0.09357111,0.4350439,0.01734718,0.001323192,0.4451848],"study_design_scores_gemma":[0.0001754182,0.000770851,0.001230895,0.00003907433,0.00006631089,0.0003310632,0.00002925482,0.8456146,0.1414759,0.001595136,0.008639274,0.00003224642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0757305,0.0001001754,0.9203578,0.00007491715,0.00005844099,0.00007353689,0.00002779182,0.001592517,0.001984477],"genre_scores_gemma":[0.8367303,0.0001024195,0.1610454,0.00005082949,0.0000544097,0.00006565353,0.00004000244,0.00006345856,0.001847593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001360336,"threshold_uncertainty_score":0.004550755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04872023772008018,"score_gpt":0.2768189304114441,"score_spread":0.2280986926913639,"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."}}