{"id":"W1996504632","doi":"10.1109/pesc.2007.4342146","title":"A Novel Hybrid Series Active Filter for Power Quality Compensation","year":2007,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Canada Research Chairs","keywords":"Harmonics; AC power; Active filter; Power factor; Harmonic; Electronic engineering; Control theory (sociology); Electrical impedance; Harmonic analysis; Engineering; Compensation (psychology); Electronic filter; Voltage optimisation; Computer science; Voltage; Electrical engineering; Physics; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.00037633,0.00008961523,0.0001150489,0.00003235618,0.00004336576,0.00002098194,0.00006187772,0.00004083415,0.0001507273],"category_scores_gemma":[0.00003374808,0.00008879955,0.00005482735,0.00004301784,0.00002048016,0.0002137748,0.00001185894,0.00007182932,0.00002607548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005228606,"about_ca_system_score_gemma":0.000007999924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002438594,"about_ca_topic_score_gemma":0.0001130093,"domain_scores_codex":[0.999411,0.000006059704,0.0001970962,0.00009814112,0.00008891983,0.0001987654],"domain_scores_gemma":[0.9996322,0.0001249021,0.00002093851,0.000126143,0.000048785,0.00004707635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001172303,0.0004729949,0.0002479302,0.0005750514,0.0005540155,0.000007735544,0.01140016,0.002566421,0.4288745,0.4993162,0.02603056,0.02878217],"study_design_scores_gemma":[0.001676121,0.0001262387,0.02712742,0.00002200867,0.00002454177,0.00001989319,0.001698243,0.004961244,0.7155158,0.004601052,0.2434886,0.0007388422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731402,0.00001758885,0.7981969,0.0001967121,0.0003639682,0.0002011408,0.0001097348,0.0002850501,0.02748878],"genre_scores_gemma":[0.9884475,0.000002850626,0.01035827,0.0002582846,0.00004569155,0.000008698324,0.00003572757,0.00001606169,0.0008268755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8153073,"threshold_uncertainty_score":0.362114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468971314578325,"score_gpt":0.2995853709040364,"score_spread":0.2448956577582531,"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."}}