{"id":"W2116066327","doi":"10.1109/tsp.2010.2043127","title":"Optimization and Analysis of Distributed Averaging With Short Node Memory","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Convergence (economics); Rate of convergence; Node (physics); Algorithm; Acceleration; Mathematics; Network topology; Computer science; Grid; Mathematical optimization; Focus (optics); Series (stratigraphy); Topology (electrical circuits); Combinatorics","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":[0.0002327185,0.0001713278,0.0003019145,0.0003841845,0.000237022,0.0002001959,0.0002886625,0.00007600226,0.00001823735],"category_scores_gemma":[0.000002855571,0.0001506371,0.00007750744,0.00147477,0.00007899703,0.0006540702,0.000002450867,0.0002490568,9.243205e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982957,"about_ca_system_score_gemma":0.00008195131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002374887,"about_ca_topic_score_gemma":0.00002954104,"domain_scores_codex":[0.9986779,0.00004307373,0.0003127799,0.0003966408,0.0003563437,0.0002132237],"domain_scores_gemma":[0.9991791,0.00007612291,0.0001316103,0.0002914163,0.0002181691,0.0001035484],"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":[0.00002505509,0.0000994328,0.000265969,0.00003199191,0.0002525564,0.000004948415,0.0002658039,0.9432899,0.0138223,0.00001608379,0.000001483791,0.04192445],"study_design_scores_gemma":[0.000348949,0.00003646217,0.0004221308,0.00004584134,0.0003627882,0.00001095228,0.00004888371,0.9769571,0.02158549,0.000005079319,0.000006758477,0.0001695546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02286593,0.00002071912,0.9765344,0.00008706362,0.00008243402,0.0001446145,0.00004988759,0.0001307512,0.00008423784],"genre_scores_gemma":[0.9759953,0.000001690847,0.02389594,0.00003280908,0.00001232567,0.0000204284,0.00001610538,0.00001111958,0.00001428144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9531294,"threshold_uncertainty_score":0.6142805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108059728990224,"score_gpt":0.2313950402271037,"score_spread":0.2203144429372014,"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."}}