{"id":"W2117971441","doi":"10.1109/icit.2013.6505974","title":"A Four-leg active power filter for harmonic mitigation and reactive power compensation in unbalanced loads systems using CFL technology","year":2013,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Agence Universitaire de la Francophonie; Canada Research Chairs","keywords":"Power factor; Compensation (psychology); AC power; Total harmonic distortion; Harmonic; Control theory (sociology); Power (physics); Harmonics; Harmonic analysis; Distortion (music); Electric power system; Engineering; Electronic engineering; 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":[0.0001297394,0.000158821,0.0002356992,0.000218748,0.00004637477,0.00005943298,0.00007362635,0.0002075265,0.00004168606],"category_scores_gemma":[0.0000383611,0.0001602802,0.00003106143,0.0001961105,0.00004771835,0.0004526424,0.00002432666,0.0001832912,0.0000188852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147347,"about_ca_system_score_gemma":0.00002073053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100059,"about_ca_topic_score_gemma":0.00002614777,"domain_scores_codex":[0.9991441,0.00002790208,0.0002636692,0.0002089503,0.0000899748,0.0002653627],"domain_scores_gemma":[0.9995466,0.00008651947,0.00006137728,0.0001581058,0.0001016549,0.00004576438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001787954,0.0001822745,0.003540075,0.0004683342,0.0004406525,0.00001168851,0.008085483,0.009195451,0.9271225,0.04556838,0.001477758,0.003728556],"study_design_scores_gemma":[0.004034277,0.0002955348,0.03373517,0.0004113729,0.00006213241,0.00006706213,0.008370415,0.8206432,0.1178103,0.01085196,0.002512603,0.001205937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676082,0.0001496844,0.02921249,0.0003292156,0.0002727784,0.0008727465,0.00001952478,0.0001904,0.001344956],"genre_scores_gemma":[0.9978903,0.000009080986,0.001814565,0.00005278053,0.0000148631,0.0001272476,0.00001317802,0.0000263615,0.0000516151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8114477,"threshold_uncertainty_score":0.6536038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669377408737113,"score_gpt":0.2437732016908942,"score_spread":0.2170794276035231,"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."}}