{"id":"W4389760718","doi":"10.22111/ieco.2022.41076.1403","title":"An Enhanced Distributed State Feedback for Secondary Control in an Islanded Microgrid","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microgrid; State (computer science); Control (management); Control theory (sociology); Feedback control; Computer science; Control engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008803106,0.000311139,0.0007083593,0.0005100215,0.0002451914,0.0007558801,0.001640951,0.00006883794,0.004541545],"category_scores_gemma":[0.00003473771,0.0003329383,0.0001383759,0.0006462016,0.00003871504,0.002004949,0.0001798079,0.0004616148,0.000002450169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938241,"about_ca_system_score_gemma":0.0001001115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424159,"about_ca_topic_score_gemma":0.00022186,"domain_scores_codex":[0.9977632,0.0002395865,0.0008260696,0.000382698,0.0003004367,0.0004880064],"domain_scores_gemma":[0.9987605,0.0001388625,0.0003218458,0.0003894622,0.0001781176,0.0002112646],"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":[0.0009005125,0.000304589,0.01518943,0.00008853211,0.0001773336,0.00001748762,0.0003472365,0.372626,0.5535527,0.000005879391,0.00726814,0.04952217],"study_design_scores_gemma":[0.02248796,0.0002823139,0.3596722,0.0002436222,0.0002711734,0.00003659005,0.000648532,0.4266139,0.1460709,0.005615791,0.035379,0.002677978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349826,0.01334127,0.04652793,0.00006412651,0.000811559,0.001508792,0.002410359,0.0001516352,0.0002017056],"genre_scores_gemma":[0.9962013,0.002081504,0.0004393294,0.0002108554,0.0001162257,0.0003080113,0.0005358973,0.00008262693,0.00002421601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074818,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181403635219484,"score_gpt":0.4385782691576975,"score_spread":0.3767642328055027,"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."}}