{"id":"W2757752755","doi":"10.1109/sege.2017.8052786","title":"A novel protection scheme for DC microgrid with hierarchical control","year":2017,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Fault (geology); Supervisory control; Renewable energy; Photovoltaic system; Engineering; Computer science; Electronic stability control; Control theory (sociology); Control engineering; Control (management); Electrical engineering; Automotive engineering","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":[0.00009363208,0.0004382996,0.0002234198,0.0002451031,0.0004922096,0.0004767546,0.0007673501,0.0002496366,0.003281729],"category_scores_gemma":[0.0001459836,0.0001080938,0.0002565149,0.000227501,0.0002312931,0.000408756,0.0004724456,0.0003333824,0.0005887869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939885,"about_ca_system_score_gemma":0.0003930778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003498483,"about_ca_topic_score_gemma":0.003448949,"domain_scores_codex":[0.9998775,0.0000119665,0.00001013384,0.00003988008,0.00004216959,0.00001830804],"domain_scores_gemma":[0.9999051,0.000006969084,0.00001437672,0.00002281425,0.00003872062,0.00001190288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004391678,0.0001975754,0.00189689,0.0005499079,0.00007531435,0.0006207186,0.0005367265,0.2564354,0.1849862,0.04522897,0.01249868,0.4965345],"study_design_scores_gemma":[0.00007378098,0.0004360559,0.001388613,0.00003231439,0.00005859936,0.0003313209,0.00005793517,0.9365225,0.02800201,0.006735165,0.02632235,0.00003938958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04962755,0.0005732175,0.9248216,0.0002140084,0.0001467378,0.0001960277,0.0001568426,0.002906118,0.02135786],"genre_scores_gemma":[0.9531808,0.0001492489,0.04152487,0.0000712624,0.0000396599,0.0000654336,0.0001167965,0.00002795499,0.004823821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003498483,"threshold_uncertainty_score":0.01097852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466100963580881,"score_gpt":0.2291604907767369,"score_spread":0.2144994811409281,"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."}}