{"id":"W4321325454","doi":"10.2316/j.2023.203-0464","title":"AN IMPROVED ACTIVE PHASE-SHIFT ISLANDING DETECTION METHOD BASED ON FUZZY ADAPTIVE PID ALGORITHM, 1-6.","year":2023,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islanding; PID controller; Control theory (sociology); Fuzzy logic; Algorithm; Computer science; Phase (matter); Engineering; Control engineering; Artificial intelligence; Electrical engineering; Control (management); Physics; Temperature control; Distributed generation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169018,0.0004752519,0.0005637804,0.0005881035,0.0004118583,0.0005258562,0.0008772622,0.000654342,0.001910146],"category_scores_gemma":[0.0005726966,0.0002340713,0.0003362555,0.0004540449,0.0002459405,0.0006900356,0.0003093152,0.0005406992,0.0006008842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002926747,"about_ca_system_score_gemma":0.0004227948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905021,"about_ca_topic_score_gemma":0.001855642,"domain_scores_codex":[0.9997087,0.00003785892,0.00001769374,0.0000792686,0.0001428301,0.00001367166],"domain_scores_gemma":[0.9997995,0.00004069409,0.00001825172,0.00001907383,0.0001117456,0.00001065779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002989217,0.000178696,0.001063292,0.0003651129,0.00008140674,0.0001757874,0.0001545791,0.04162982,0.09889594,0.004889718,0.00388253,0.8483843],"study_design_scores_gemma":[0.00008568582,0.0002934828,0.001283515,0.00001883041,0.00005237529,0.0004149726,0.00002514835,0.9561535,0.02941648,0.001408851,0.01079929,0.00004789581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00966868,0.0005775296,0.98486,0.00008018017,0.0001806876,0.00008190714,0.00002404121,0.001015202,0.003511773],"genre_scores_gemma":[0.4018907,0.0005778047,0.5865058,0.0001886532,0.0001050084,0.0001900695,0.0001050565,0.0000805808,0.01035633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001910146,"threshold_uncertainty_score":0.006390095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006532846049588,"score_gpt":0.2735781751488051,"score_spread":0.2635128466883092,"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."}}