{"id":"W2098802260","doi":"10.1109/pcicon.1991.162943","title":"Trends in power factor correction with harmonic filtering","year":2002,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Harmonics; Harmonic analysis; Harmonic; Power factor; Power system harmonics; Power (physics); Computer science; Electrical engineering; Electronic engineering; Engineering; 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":[0.002663778,0.0008356312,0.0007442902,0.003183868,0.0005530047,0.003079167,0.001767292,0.002265868,0.01231442],"category_scores_gemma":[0.005043086,0.0003770516,0.0004860527,0.006365114,0.002235167,0.006966582,0.001083117,0.003144873,0.006734536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345098,"about_ca_system_score_gemma":0.001469054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525386,"about_ca_topic_score_gemma":0.002313885,"domain_scores_codex":[0.997693,0.0003749995,0.0001412478,0.000524006,0.001156088,0.0001106255],"domain_scores_gemma":[0.9964311,0.001172702,0.0002006689,0.0003024139,0.001760876,0.0001322158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006673523,0.00009190991,0.001035749,0.0009504769,0.00003060792,0.00007642262,0.0001671881,0.002294449,0.00160342,0.1147439,0.03332426,0.8456149],"study_design_scores_gemma":[0.00001503039,0.0001297044,0.001836772,0.0005697568,0.0000217838,0.0006201804,0.000191167,0.003896763,0.00172201,0.07885703,0.9120954,0.00004443747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008301201,0.6288781,0.1393772,0.03849625,0.005136313,0.00008960749,0.0002664342,0.001485881,0.1779691],"genre_scores_gemma":[0.1114488,0.6063383,0.1707228,0.01077372,0.01169747,0.0001325383,0.000965626,0.0006199178,0.08730081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231442,"threshold_uncertainty_score":0.04119581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479398102625163,"score_gpt":0.2247584118109177,"score_spread":0.1899644307846661,"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."}}