{"id":"W2143353308","doi":"10.1109/icassp.2009.4960421","title":"The speed of greed: Characterizing myopic gossip through network voracity","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gossip; Eavesdropping; Computer science; Network topology; Convergence (economics); Computer network; Node (physics); Gossip protocol; Wireless network; Wireless; Wireless sensor network; Topology (electrical circuits); Rate of convergence; Mathematics; Telecommunications; Channel (broadcasting); Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005720193,0.0006443992,0.0008177657,0.001716057,0.0007635403,0.001495852,0.001301696,0.001115668,0.001014841],"category_scores_gemma":[0.0501359,0.0004192522,0.0004670942,0.000718334,0.003864835,0.003353627,0.00197831,0.001566233,0.0001967945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531179,"about_ca_system_score_gemma":0.0006232374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304918,"about_ca_topic_score_gemma":0.0005388779,"domain_scores_codex":[0.9980105,0.0009177873,0.00009111944,0.0002549021,0.000469401,0.0002563632],"domain_scores_gemma":[0.9446516,0.04355018,0.005891891,0.002578071,0.002254619,0.001073692],"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":[0.0004025682,0.00006608304,0.007934572,0.0002513431,0.0001449266,0.0005074749,0.001141806,0.7702813,0.01154649,0.1896619,0.001084692,0.01697681],"study_design_scores_gemma":[0.00001571412,0.0001025332,0.001019831,0.00003153826,0.0000193969,0.0001629331,0.0001644792,0.946171,0.001748819,0.04983164,0.0007012758,0.00003097465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3992624,0.001317896,0.586542,0.001092812,0.00009711827,0.0001490064,0.0001462732,0.0003016356,0.01109095],"genre_scores_gemma":[0.9894145,0.0003077662,0.009341571,0.00005835947,0.00003328827,0.00008055281,0.00003328064,0.00005204294,0.0006788388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005720193,"threshold_uncertainty_score":0.03025168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052835113625068,"score_gpt":0.2483515992494652,"score_spread":0.2278232481132145,"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."}}