{"id":"W2733710724","doi":"10.1109/ipdps.2017.36","title":"Corrected Gossip Algorithms for Fast Reliable Broadcast on Unreliable Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Council on Graduate Studies, Council of Ontario Universities","keywords":"Gossip; Computer science; Latency (audio); Broadcasting (networking); Distributed computing; Gossip protocol; Algorithm; Las vegas; Reliability (semiconductor); Computer network; Scalability; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001341319,0.0005728063,0.0005990783,0.0007609886,0.0007569996,0.0007420881,0.00118711,0.0005864347,0.00139185],"category_scores_gemma":[0.006040146,0.000353347,0.0003636003,0.0007036052,0.0009917921,0.001341406,0.001096381,0.001170312,0.0003516281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006816218,"about_ca_system_score_gemma":0.001000043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663752,"about_ca_topic_score_gemma":0.002310321,"domain_scores_codex":[0.9991221,0.0003106759,0.00004597685,0.00006970327,0.0003626645,0.00008885797],"domain_scores_gemma":[0.9974602,0.001371716,0.0002134343,0.0004443672,0.000420568,0.0000897093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004397113,0.00006292998,0.0009757343,0.0002183069,0.00009485945,0.0002075239,0.0004596655,0.6939883,0.01673613,0.1439255,0.004584795,0.1383066],"study_design_scores_gemma":[0.00005105404,0.0000698017,0.000121322,0.000009637454,0.00001665104,0.00005024431,0.00003383009,0.9418736,0.00541898,0.04858747,0.003745833,0.00002157375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02046482,0.0003046282,0.976712,0.0001573268,0.00007553102,0.00004862481,0.00003134867,0.000860663,0.001345075],"genre_scores_gemma":[0.6342516,0.0003946336,0.361864,0.0001157954,0.00009476229,0.00019247,0.0001127233,0.000276664,0.00269733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001663752,"threshold_uncertainty_score":0.007093608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612847852043521,"score_gpt":0.2904677314147319,"score_spread":0.2543392528942967,"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."}}