{"id":"W1612070416","doi":"10.1109/pesgm.2015.7286411","title":"Paradigms and performance of distributed cyber-enabled control schemes for the smart grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Smart grid; Controller (irrigation); Cluster analysis; Distributed computing; Grid; Control (management); Electric power system; Control theory (sociology); Power control; Distributed generation; Control system; Transient (computer programming); Stability (learning theory); Distributed control system; Control engineering; Power (physics); Engineering; Mathematics","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":[0.0002310791,0.00006082108,0.0001204909,0.00001047103,0.00002752323,0.00001395937,0.00005768847,0.00002662183,0.00001405917],"category_scores_gemma":[0.00005103858,0.00003831837,0.00002079221,0.00005560834,0.00002655508,0.00006992631,0.000006777504,0.00002752675,0.000001495083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522731,"about_ca_system_score_gemma":0.00001207766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006983785,"about_ca_topic_score_gemma":0.00000760993,"domain_scores_codex":[0.9996263,0.00000933127,0.0001466683,0.00005924324,0.00005999166,0.00009843438],"domain_scores_gemma":[0.9996495,0.00008608374,0.00001773894,0.0001326916,0.00006582656,0.00004813565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001068477,0.0002136528,0.440958,0.001725985,0.0009291534,0.000001019358,0.002242613,0.4377505,0.0007934325,0.02286625,0.08423884,0.007212122],"study_design_scores_gemma":[0.001077252,0.00004198412,0.005188736,0.000006213181,0.00001383988,0.000001339682,0.00008075723,0.9427185,0.0007758139,0.00001380237,0.05001222,0.00006951454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.219404,0.0007001493,0.773718,0.0002406023,0.0004679183,0.0006523905,0.0001308591,0.0001630298,0.004523045],"genre_scores_gemma":[0.9994115,0.000015609,0.0004008448,0.00001591136,0.00001294866,0.00003465889,0.0000112346,0.000005716086,0.0000916041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7800075,"threshold_uncertainty_score":0.1562578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450846165901463,"score_gpt":0.2058894731613393,"score_spread":0.1913810115023246,"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."}}