{"id":"W2330982602","doi":"10.1049/iet-gtd.2015.1105","title":"Islanding protection of multiple distributed resources under adverse islanding conditions","year":2016,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Opal-Rt Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Islanding; Distributed generation; Computer science; Distributed power generation; Reliability engineering; Electrical engineering; Engineering; Renewable energy","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":[0.0005053595,0.0004549682,0.0004718472,0.0006597677,0.0002030582,0.0005498939,0.0003757695,0.0002118239,0.0005583939],"category_scores_gemma":[0.001969529,0.0001347032,0.0002846126,0.0003913931,0.0003123888,0.000613557,0.0003745858,0.0003764559,0.0001094928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302412,"about_ca_system_score_gemma":0.0003039895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007024596,"about_ca_topic_score_gemma":0.0009030277,"domain_scores_codex":[0.9996519,0.00008298665,0.0000242502,0.00009934002,0.0001115418,0.00002998732],"domain_scores_gemma":[0.9991251,0.0003416725,0.0002826404,0.0001284929,0.00009320562,0.00002892849],"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":[0.0004603045,0.0002266615,0.04016873,0.0001946654,0.0001663075,0.0005831808,0.0002889968,0.4355307,0.08107816,0.006026444,0.0006831452,0.4345928],"study_design_scores_gemma":[0.000009111101,0.000256925,0.0133711,0.00001557701,0.00003661172,0.000197614,0.00008150133,0.9612662,0.02062616,0.003355985,0.0007699297,0.00001333244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2371226,0.00007837927,0.7606198,0.00006740323,0.0000125176,0.0000534898,0.0001466306,0.0006649746,0.001234223],"genre_scores_gemma":[0.9679441,0.00004055011,0.03164474,0.000009017915,0.0000069021,0.0000166723,0.0000658403,0.00001150321,0.0002607041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007024596,"threshold_uncertainty_score":0.002672613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810925105848573,"score_gpt":0.2192745837685626,"score_spread":0.2011653327100768,"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."}}