{"id":"W2297353497","doi":"","title":"Criteria for Unconditional Convergence to Single or Multiple Consensuses in Discrete Time Linear Consensus Algorithms","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Digraph; Sequence (biology); Mathematics; Convergence (economics); Consensus algorithm; Consensus; Property (philosophy); Discrete time and continuous time; Strongly connected component; Weak convergence; Algorithm; Asymmetry; Discrete mathematics; Multi-agent system; Computer science; Statistics; Economics","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":[0.0005779273,0.0002677352,0.0003803175,0.0001625258,0.0001088719,0.0001247651,0.0006055461,0.0001009468,0.000261714],"category_scores_gemma":[0.0008472431,0.0002243986,0.00009843473,0.0004103392,0.0000773959,0.0003672192,0.0001924874,0.00008255392,0.0006912522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337321,"about_ca_system_score_gemma":0.0001337117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647713,"about_ca_topic_score_gemma":0.00007767978,"domain_scores_codex":[0.9976767,0.0001370825,0.0005725403,0.0005068836,0.0003227222,0.0007841219],"domain_scores_gemma":[0.9976451,0.001112394,0.0001274837,0.0005098972,0.0002309531,0.0003741608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00240828,0.004901247,0.06928521,0.000594986,0.0007872531,0.0004264622,0.006156127,0.003297745,0.4113305,0.07223651,0.4154103,0.01316536],"study_design_scores_gemma":[0.006367387,0.0005399273,0.009817651,0.0001517713,0.00002774889,0.0001691108,0.0003230826,0.8923444,0.02446922,0.0003052844,0.06419766,0.001286829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06605519,0.00007320623,0.9238789,0.003097424,0.002510369,0.001921593,0.001397188,0.0004430524,0.0006230468],"genre_scores_gemma":[0.8537356,4.235913e-7,0.1424938,0.0006709759,0.0002722017,0.0001849043,0.0001200828,0.00002127614,0.002500777],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8890466,"threshold_uncertainty_score":0.9150711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06395876595364527,"score_gpt":0.3234887149587259,"score_spread":0.2595299490050806,"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."}}