{"id":"W2045605828","doi":"10.1145/2591971.2591999","title":"Randomized auction design for electricity markets between grids and microgrids","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Computer science; Double auction; Common value auction; Grid; Mathematical optimization; Electricity; Auction theory; Combinatorial auction; Reverse auction; Auction algorithm; Distributed computing; Microeconomics; Revenue equivalence; Economics; Electrical engineering; 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":[0.001299055,0.0001322943,0.0003413041,0.0001182515,0.00005314988,0.00004125294,0.00005834636,0.00009721478,0.000008636321],"category_scores_gemma":[0.000182777,0.000118602,0.00005457977,0.0001754536,0.00001593263,0.0001030246,0.000006185136,0.00006129003,0.000004202511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004944823,"about_ca_system_score_gemma":0.000007627027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006180968,"about_ca_topic_score_gemma":7.439018e-7,"domain_scores_codex":[0.9991412,0.0001543686,0.0002555045,0.0001514701,0.00007618593,0.0002212647],"domain_scores_gemma":[0.9990074,0.0007492654,0.00003465632,0.000106721,0.0000471418,0.00005482428],"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":[0.0540303,0.0002104837,0.004851095,0.002622041,0.003498822,0.000002227803,0.001227344,0.2270798,0.03570817,0.01044572,0.1864489,0.473875],"study_design_scores_gemma":[0.04742276,0.00006077337,0.0002388736,0.00001244299,0.00009797714,0.000004283128,0.000001994461,0.9290268,0.02067137,0.0009721493,0.001252231,0.0002383059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0111471,0.0002327286,0.9855471,0.00004137669,0.0001778243,0.0009081858,0.000001310505,0.0003908711,0.001553471],"genre_scores_gemma":[0.9615573,0.00009173335,0.03759916,0.00002256321,0.0001930834,0.0001386794,0.00001376542,0.00003689422,0.0003467831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9504102,"threshold_uncertainty_score":0.4836448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009333468830472879,"score_gpt":0.2035209668039291,"score_spread":0.1941874979734562,"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."}}