{"id":"W4281550050","doi":"10.1155/2022/2189000","title":"A Novel Virtual Voltage Comparison Compensation for Dynamic Voltage Restorer","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical and Computer Engineering","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Key Laboratory of Anhui Province for Testing Technology and Energy-saving Devices; Anhui Polytechnic University","keywords":"Voltage sag; Compensation (psychology); Voltage; Flexibility (engineering); SIGNAL (programming language); Control theory (sociology); Grid; Computer science; Voltage regulation; Power quality; Engineering; Control (management); Electrical engineering; Mathematics","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":[0.000193716,0.0003908342,0.0003772865,0.0004404818,0.0003337089,0.0004993094,0.0008326033,0.0003845545,0.002220441],"category_scores_gemma":[0.0002218179,0.0001571336,0.000239427,0.0002925224,0.0002247894,0.0005802562,0.0002664608,0.0003532906,0.0003134903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845516,"about_ca_system_score_gemma":0.000338279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006354777,"about_ca_topic_score_gemma":0.001081418,"domain_scores_codex":[0.9997603,0.00002927358,0.00001320924,0.00006107402,0.0001162906,0.00001978276],"domain_scores_gemma":[0.999917,0.0000133013,0.00001987119,0.00001198879,0.00003140856,0.000006473603],"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":[0.0003890259,0.0001668245,0.0007013612,0.0003191111,0.0000595242,0.0002224103,0.0001010341,0.0306409,0.3035407,0.01427902,0.003119213,0.6464608],"study_design_scores_gemma":[0.0002080054,0.001080101,0.002098454,0.00004355651,0.00008528356,0.001318003,0.00004486206,0.8220184,0.14329,0.002971993,0.02675244,0.00008891222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02277222,0.0005086279,0.9713336,0.000129986,0.0001618546,0.00007537926,0.00003765092,0.001135906,0.00384479],"genre_scores_gemma":[0.8015353,0.0002644709,0.1926365,0.0001300454,0.00008506153,0.00006748572,0.00007832312,0.00004907791,0.005153749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002220441,"threshold_uncertainty_score":0.007428169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487497534912528,"score_gpt":0.2297788611913719,"score_spread":0.2149038858422466,"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."}}