{"id":"W2424914211","doi":"10.1109/icps.2016.7490256","title":"The development and testing of a coordinated anti-islanding protection for collector systems with multiple distributed generation units","year":2016,"lang":"en","type":"article","venue":"","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Islanding; Line (geometry); Electronic engineering; Interference (communication); Power (physics); Computer science; AC power; Sensitivity (control systems); Distributed generation; Engineering; Electrical engineering; Real-time computing; Channel (broadcasting); Voltage; Physics; Renewable energy","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":[0.0006364174,0.0006154079,0.0004902388,0.0003991596,0.0003670337,0.0006025008,0.001209746,0.0006379863,0.0006642213],"category_scores_gemma":[0.001166222,0.0002335902,0.0003492336,0.0001998886,0.000405499,0.0005694157,0.0004406787,0.0005440579,0.0002292755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399472,"about_ca_system_score_gemma":0.0007679123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237396,"about_ca_topic_score_gemma":0.0009469657,"domain_scores_codex":[0.9992925,0.0001428385,0.00003271615,0.0001438818,0.0003428282,0.0000451216],"domain_scores_gemma":[0.9988083,0.0002042677,0.0001883794,0.0002836074,0.0004296166,0.00008586024],"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":[0.0007078215,0.000514114,0.01660306,0.0005889621,0.000228906,0.0008077688,0.0006631933,0.10367,0.6012486,0.001965355,0.0009756988,0.2720266],"study_design_scores_gemma":[0.0002854525,0.008178644,0.02123621,0.00007007901,0.0002828097,0.000984482,0.0002044396,0.4284049,0.5284125,0.0008533529,0.01103336,0.00005374723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244634,0.0002802043,0.4690186,0.0001523267,0.00007211694,0.0006040547,0.0001007572,0.001579018,0.003729437],"genre_scores_gemma":[0.9299809,0.0000897914,0.06853999,0.00002885279,0.0000158383,0.0001007058,0.00006938767,0.00002791581,0.001146662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237396,"threshold_uncertainty_score":0.003365695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517672357930431,"score_gpt":0.1975443264594697,"score_spread":0.1623676028801654,"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."}}