{"id":"W2436096724","doi":"10.1371/journal.pone.0157057","title":"Improved Active Harmonic Current Elimination Based on Voltage Detection","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Harmonics; Control theory (sociology); Interfacing; Harmonic; Converters; Computer science; Decoupling (probability); Voltage; Harmonic analysis; AC power; Electronic engineering; Engineering; Control engineering; Physics; Electrical engineering; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004267039,0.00009035976,0.00008622037,0.00008199195,0.00003172523,0.00001356318,0.00004444925,0.00004278179,0.00005261297],"category_scores_gemma":[0.00004079251,0.00007185011,0.00002832462,0.00007542254,0.000006982813,0.0001135541,0.000004839228,0.00007113649,0.00005855721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365167,"about_ca_system_score_gemma":0.000006869405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001516909,"about_ca_topic_score_gemma":0.000005958854,"domain_scores_codex":[0.9995334,0.00001104892,0.00009778889,0.000117496,0.0001111981,0.0001290714],"domain_scores_gemma":[0.9997283,0.00003762721,0.00002635846,0.0001168822,0.00005632761,0.00003447566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003826542,0.0001378364,0.000008551567,0.00002763009,0.00002425598,1.396942e-7,0.0000153036,0.0006931761,0.74116,0.000004157659,0.00001525421,0.2578754],"study_design_scores_gemma":[0.0005115278,0.0000604524,0.0007659047,0.0000690539,0.00002859765,3.783775e-8,0.000001341473,0.4895158,0.5088678,0.00001190296,0.00008978838,0.00007782461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4259171,0.0004792486,0.5703615,0.0003642214,0.0004731965,0.0008266151,0.00005282808,0.0009642767,0.0005610091],"genre_scores_gemma":[0.9993119,0.0001740875,0.0002518546,0.00001706948,0.0001119758,0.00006426131,0.000008796071,0.0000208756,0.00003913312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5733948,"threshold_uncertainty_score":0.2929963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140450459106836,"score_gpt":0.1829299252964948,"score_spread":0.1688848793858112,"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."}}