{"id":"W2769861648","doi":"10.1109/tia.2017.2773431","title":"Performance of Multiframe Digital Interconnection Protection for Distributed Cogeneration Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Islanding; Interconnection; Frame (networking); Cogeneration; Electronic engineering; Filter bank; Computer science; Digital filter; Transient (computer programming); Filter (signal processing); Engineering; Electrical engineering; Power (physics); Telecommunications; Electricity generation; Distributed generation; Physics","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":[0.00011251,0.0001661836,0.0001741579,0.0001458817,0.0006670767,0.0001942719,0.0001986386,0.0003713646,0.000008852417],"category_scores_gemma":[0.000009436649,0.0001846957,0.00008493358,0.0001392388,0.00007083706,0.000456134,9.707895e-7,0.0003891875,0.00002479099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667635,"about_ca_system_score_gemma":0.00001965775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002555197,"about_ca_topic_score_gemma":0.000007896573,"domain_scores_codex":[0.9990781,0.000011865,0.0003889021,0.0002153632,0.0001359526,0.000169848],"domain_scores_gemma":[0.9990126,0.00004224227,0.0001729239,0.0005555035,0.0001598279,0.00005689927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009785048,0.0002204227,0.0002428241,0.0005402839,0.0002333945,1.727438e-7,0.0001615062,0.9102514,0.03347202,0.0002057146,0.0004715218,0.05410287],"study_design_scores_gemma":[0.0007697206,0.0002239445,0.0002894624,0.0001626272,0.00006721445,0.00002959712,0.0001559857,0.7962435,0.1886604,0.0000203216,0.01303328,0.0003439314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1240168,0.000006478246,0.8716331,0.00002834954,0.001658316,0.00140612,0.0005959881,0.0002977747,0.0003570933],"genre_scores_gemma":[0.9950484,0.000005913767,0.0001115796,0.000001262805,0.0002028016,0.004216521,0.00003295773,0.00003718623,0.0003433754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8715215,"threshold_uncertainty_score":0.7531672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539020372756318,"score_gpt":0.2441256269199661,"score_spread":0.218735423192403,"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."}}