{"id":"W2100616296","doi":"10.1109/iecon.2004.1431741","title":"Analysis and comparison of islanding detection methods using a new load parameter space","year":2005,"lang":"en","type":"article","venue":"","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Islanding; Space (punctuation); Power (physics); Load resistance; Parameter space; Grid; Control theory (sociology); Delta; Power grid; Space technology; Computer science; Electronic engineering; Topology (electrical circuits); Mathematics; Engineering; Physics; Electric power system; Electrical engineering; Statistics; Artificial intelligence; Aerospace engineering; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009552895,0.0005563964,0.0005521049,0.001246798,0.0001564097,0.0005069582,0.0004556001,0.0003944555,0.001111724],"category_scores_gemma":[0.00426477,0.0001359422,0.0003731606,0.0007557076,0.0002879795,0.00134959,0.000331884,0.0003241607,0.0002509814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004077599,"about_ca_system_score_gemma":0.0001486629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006244822,"about_ca_topic_score_gemma":0.0005389163,"domain_scores_codex":[0.9993388,0.0002099579,0.0000455785,0.00006936966,0.0003094755,0.00002667581],"domain_scores_gemma":[0.9961533,0.002700336,0.0002684071,0.0003378417,0.0005040689,0.00003605372],"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":[0.001642201,0.0002310025,0.01154039,0.0007878681,0.0003170707,0.0001695383,0.0003579376,0.2705561,0.1342487,0.008954429,0.000963808,0.570231],"study_design_scores_gemma":[0.00005445575,0.0005990804,0.007011899,0.00001524475,0.00007365895,0.0002165704,0.00006518426,0.9083965,0.079381,0.001674524,0.002465752,0.00004608927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.352353,0.001108889,0.641072,0.0001070783,0.00005015953,0.0001048204,0.0001302699,0.001300897,0.003772835],"genre_scores_gemma":[0.9140332,0.0003700448,0.0843123,0.00001514033,0.00002262263,0.00005773289,0.0001378419,0.00008781037,0.0009633268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001246798,"threshold_uncertainty_score":0.00505209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032270208099471,"score_gpt":0.3331388403591726,"score_spread":0.3028161382781779,"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."}}