{"id":"W3212804852","doi":"10.1109/iecon48115.2021.9589362","title":"Distributed Economic Dispatch over Strongly Connected Communication Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economic dispatch; Benchmark (surveying); Computer science; Electric power system; Telecommunications network; Distributed algorithm; Mathematical optimization; Control (management); Power (physics); Distributed computing; Computer network; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006311548,0.0001002132,0.0001306447,0.00002409654,0.00004196453,0.00005791399,0.0001157602,0.00008016911,0.0004271916],"category_scores_gemma":[0.00001436048,0.0001125213,0.00003209503,0.0001685032,0.000008111262,0.0001369679,0.00003118597,0.0001068467,0.0000369609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069149,"about_ca_system_score_gemma":0.00002302564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000406184,"about_ca_topic_score_gemma":0.0002781429,"domain_scores_codex":[0.9994015,0.00004580501,0.0002100687,0.0001163361,0.00004713884,0.0001792302],"domain_scores_gemma":[0.9994171,0.00007472875,0.00002754866,0.0003953404,0.00003814389,0.00004714329],"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":[0.000001666314,0.00000875583,0.002948636,0.000007661313,0.00004566151,0.000001434457,0.00001827233,0.9845576,0.00009867067,0.002148424,0.009852786,0.0003104248],"study_design_scores_gemma":[0.0002720503,0.000004899832,0.006765649,0.00001228531,0.00001123077,0.000005229032,0.00002095847,0.9902652,0.0006187752,0.0000219947,0.001866103,0.000135627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09272515,0.001016484,0.8946978,0.00009647574,0.0003828526,0.000149519,0.00002934374,0.0006990358,0.01020329],"genre_scores_gemma":[0.9975752,0.0001643418,0.001155249,0.00001449546,0.00003542922,0.0000146272,0.0008183353,0.0000252721,0.0001970023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9048501,"threshold_uncertainty_score":0.4677448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00390533302642488,"score_gpt":0.1883932624930105,"score_spread":0.1844879294665857,"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."}}