{"id":"W2951483981","doi":"10.48550/arxiv.1305.7182","title":"Average Consensus on Arbitrary Strongly Connected Digraphs with Time-Varying Topologies","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Network topology; Strongly connected component; State (computer science); Topology (electrical circuits); Mathematics; Computer science; Consensus; Consensus algorithm; Mathematical optimization; Multi-agent system; Discrete mathematics; Algorithm; Combinatorics; 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"],"consensus_categories":[],"category_scores_codex":[0.0002051577,0.0006739562,0.0007367724,0.0004240966,0.0002507233,0.0003804134,0.00248425,0.0004296768,0.00007789963],"category_scores_gemma":[0.00007195593,0.000656637,0.0002710145,0.0006315939,0.000278841,0.0003375429,0.001205361,0.0009442756,0.000531362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713897,"about_ca_system_score_gemma":0.0003061677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004560706,"about_ca_topic_score_gemma":0.00002054007,"domain_scores_codex":[0.9965473,0.0003831077,0.0003562076,0.001747208,0.0002265272,0.0007396189],"domain_scores_gemma":[0.9962693,0.000520253,0.0005389546,0.002103,0.0002873407,0.0002810828],"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":[0.0003652334,0.0004446313,0.005439097,0.0001950191,0.001247859,0.003702253,0.0004142025,0.6790998,0.0003857742,0.3052166,0.003011673,0.0004779173],"study_design_scores_gemma":[0.003301176,0.0004551739,0.003841814,0.0005170589,0.0001452671,0.000039256,0.0001619652,0.978339,0.000400448,0.01058266,0.0005582727,0.001657964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7553503,0.00008608709,0.2258183,0.0003300245,0.0008100932,0.001332601,0.0001531018,0.001440936,0.01467859],"genre_scores_gemma":[0.9966312,0.00002032642,0.001193721,0.000120169,0.00006462648,0.000006723294,0.00007768651,0.00003439652,0.00185115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2992392,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537680348874266,"score_gpt":0.1765484122938712,"score_spread":0.1311716088051285,"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."}}