{"id":"W2560187783","doi":"10.1109/epec.2016.7771736","title":"Automatic restoration in distribution systems considering DG transfer and islanded microgrids","year":2016,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Robustness (evolution); Distributed generation; Computer science; Electric power system; Control engineering; Scheme (mathematics); Process (computing); Transfer function; Distributed power generation; Fault (geology); Engineering; Reliability engineering; Control theory (sociology); Distributed computing; Power (physics); Control (management); Renewable energy; Mathematics; Electrical engineering; 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":[0.00009045743,0.00007805502,0.0001046029,0.00004216257,0.00001893505,0.00003716686,0.00002192173,0.00005391257,0.00002502036],"category_scores_gemma":[0.000009808231,0.00005581118,0.00001205924,0.0000654836,0.00001314798,0.0001586206,0.00000351133,0.0000300911,0.000007877507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000566462,"about_ca_system_score_gemma":0.000005812258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002292022,"about_ca_topic_score_gemma":0.0000800487,"domain_scores_codex":[0.9995487,0.00001829157,0.0001810831,0.00008722324,0.00004553242,0.000119209],"domain_scores_gemma":[0.9998528,0.00003213101,0.000006442132,0.00006631823,0.0000153936,0.00002687244],"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":[0.00006041349,0.00008302582,0.01728107,0.0008662723,0.0001371203,0.00002754091,0.00130372,0.06706585,0.5967922,0.007495618,0.003682055,0.3052052],"study_design_scores_gemma":[0.001979541,0.00002924632,0.007866969,0.000208808,0.00001655158,0.0000238269,0.00007189332,0.9803201,0.006731123,0.00008679931,0.002397852,0.0002672821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509866,0.001120883,0.2468463,0.0001232526,0.000184418,0.0002316932,0.00001714081,0.0002861042,0.0002035724],"genre_scores_gemma":[0.9994469,0.0002822275,0.0001648929,0.000006030958,0.00002746699,0.00001955585,0.00001584477,0.000009192951,0.00002788303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9132543,"threshold_uncertainty_score":0.2275914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004945533658234615,"score_gpt":0.1673747800378484,"score_spread":0.1624292463796138,"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."}}