{"id":"W2544572970","doi":"10.1109/poweri.2014.7117616","title":"Islanding detection of grid connected distributed generation using symmetrical components","year":2014,"lang":"en","type":"article","venue":"","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Islanding; Tripping; Grid; Distributed generation; Computer science; Variable (mathematics); Limit (mathematics); Control theory (sociology); Electronic engineering; Power (physics); Mathematics; Engineering; Circuit breaker; Electrical engineering; Physics; Artificial intelligence","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":[0.0001918896,0.0001111885,0.0001837541,0.0002453011,0.00007103554,0.0000278282,0.00006005353,0.00009385765,0.00002066829],"category_scores_gemma":[0.00008509948,0.0001099824,0.00004527789,0.0004727457,0.0000142196,0.00008977854,0.00001264351,0.00009118673,0.00001355637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337003,"about_ca_system_score_gemma":0.000002574495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000702575,"about_ca_topic_score_gemma":0.00001632431,"domain_scores_codex":[0.9991753,0.00005989763,0.0003184718,0.0001234113,0.0001663866,0.0001565571],"domain_scores_gemma":[0.9996285,0.00006792851,0.0000589837,0.000142291,0.00006249826,0.0000398151],"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":[0.000006028285,0.00001117628,0.001384376,0.00004858082,0.00004221817,3.577573e-7,0.00004542908,0.03163801,0.9658763,0.0001805106,0.0002561007,0.0005109024],"study_design_scores_gemma":[0.0002726431,0.00002784446,0.001117889,0.00001522837,0.00001250284,0.00001392952,0.000009524584,0.7530437,0.2447302,0.000009076221,0.0006434027,0.0001040446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4631223,0.00001232714,0.5342287,0.000001258289,0.001950803,0.00006468109,0.000008210087,0.0002068089,0.0004049647],"genre_scores_gemma":[0.9991013,0.000001660169,0.0004321543,0.000002787826,0.0003823989,0.000004759379,0.00004217423,0.00002181129,0.00001093206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7214057,"threshold_uncertainty_score":0.4484953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551445849416286,"score_gpt":0.2158851860842717,"score_spread":0.1903707275901088,"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."}}