{"id":"W2125878099","doi":"10.1109/ccece.1999.804881","title":"Modular active power filtering approaches: Power splitting verses frequency splitting","year":2003,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Modular design; Active filter; Line (geometry); Power (physics); AC power; Harmonic; Active power filter; Total harmonic distortion; Filter (signal processing); Electronic engineering; Computer science; Distortion (music); Sign (mathematics); Electrical engineering; Engineering; Acoustics; Mathematics; Physics; Voltage","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":[0.000561933,0.0007769857,0.0005059106,0.0007056429,0.0002407602,0.0009117342,0.001020923,0.0006557079,0.003891367],"category_scores_gemma":[0.0007819981,0.0001947286,0.000494116,0.0006814279,0.0005279895,0.001556827,0.0005983379,0.0005959814,0.001050796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639467,"about_ca_system_score_gemma":0.0002409622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002863958,"about_ca_topic_score_gemma":0.0003839381,"domain_scores_codex":[0.9994593,0.00008917326,0.00002153634,0.00009105501,0.00027386,0.00006493329],"domain_scores_gemma":[0.9994043,0.0001732896,0.0000954223,0.0001616389,0.0001288224,0.0000365876],"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":[0.0005870836,0.000148126,0.001118827,0.0004099286,0.0001240319,0.0001619946,0.0002581617,0.03808673,0.1378261,0.06082696,0.001451042,0.7590009],"study_design_scores_gemma":[0.0004252905,0.00378327,0.007724027,0.0002965868,0.0005859272,0.004055081,0.0003448202,0.4012649,0.287204,0.1703884,0.123754,0.0001735653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0384987,0.002399217,0.942359,0.0001974821,0.00009704327,0.00006860417,0.00002716691,0.0008562393,0.01549653],"genre_scores_gemma":[0.7300265,0.002395993,0.2575346,0.0001978576,0.0003244504,0.00009211691,0.00009263685,0.0001519552,0.009183973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003891367,"threshold_uncertainty_score":0.01301795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440085431787213,"score_gpt":0.2189657077659693,"score_spread":0.1745648534480971,"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."}}