{"id":"W2964528330","doi":"10.1109/tac.2020.3015354","title":"Single-Timescale Distributed GNE Seeking for Aggregative Games Over Networks via Forward–Backward Operator Splitting","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Monotonic function; Convergence (economics); Operator (biology); Affine transformation; Property (philosophy); Constant (computer programming); Aggregate (composite); Nash equilibrium","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"],"consensus_categories":[],"category_scores_codex":[0.0004519323,0.0005491999,0.0009223946,0.0001308119,0.0004714008,0.0005426618,0.0009880721,0.0002179025,0.00007278173],"category_scores_gemma":[0.0001080419,0.0005317538,0.0005381992,0.0007576853,0.00007988395,0.0007336812,0.00000936064,0.0003150831,0.00007727418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002929839,"about_ca_system_score_gemma":0.0001051658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002500922,"about_ca_topic_score_gemma":0.0000135594,"domain_scores_codex":[0.996379,0.0002345881,0.001034737,0.0009310715,0.0005491829,0.0008714419],"domain_scores_gemma":[0.9969226,0.001159615,0.0004569247,0.0007372734,0.0002668127,0.00045677],"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":[0.0004364414,0.001233991,0.00008712619,0.0004434296,0.002205273,0.00007478488,0.003060377,0.4166671,0.03150406,0.0008706955,0.002380311,0.5410364],"study_design_scores_gemma":[0.005933437,0.0004203808,0.0001059821,0.0001883452,0.0001958097,0.00001233467,0.00007902396,0.9884747,0.00294457,0.00008751415,0.001025922,0.0005319875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002862955,0.0001204431,0.9888245,0.003070641,0.001049494,0.002379845,0.0004462095,0.001202917,0.00004298546],"genre_scores_gemma":[0.988665,0.000002436343,0.008797279,0.001504507,0.0002215707,0.0006519163,0.00002647062,0.00006028628,0.00007057117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.985802,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505746729932236,"score_gpt":0.2331764389170745,"score_spread":0.2181189716177521,"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."}}