{"id":"W2468139380","doi":"","title":"Stabilizing Consensus with the Power of Two Choices","year":2010,"lang":"en","type":"article","venue":"Dagstuhl Seminar Proceedings","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Adversarial system; Bounded function; Commit; Adversary; Consensus; Uniform consensus; Value (mathematics); Point (geometry); Simple (philosophy); Computer science; Upper and lower bounds; Discrete mathematics; State (computer science); Combinatorics; Binary logarithm; Mathematics; Mathematical economics; Multi-agent system; Algorithm; Artificial intelligence; Computer security; Statistics","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":[0.000536412,0.0001664636,0.0002122218,0.0000453729,0.0001668697,0.000181512,0.00097861,0.00005602544,0.000009995017],"category_scores_gemma":[0.00005504044,0.0001002789,0.00004669152,0.0004755695,0.0002069302,0.0002784701,0.0001555845,0.0002868527,0.00001068036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001072755,"about_ca_system_score_gemma":0.0000486129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005279991,"about_ca_topic_score_gemma":0.00002691442,"domain_scores_codex":[0.998728,0.00000761052,0.0002347268,0.0003545381,0.0003772771,0.0002978314],"domain_scores_gemma":[0.9988793,0.0000920162,0.0002476971,0.0003352362,0.0003664446,0.00007931696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007098279,0.0003221823,0.02988703,0.0002572541,0.0001244546,0.00002946091,0.02195324,0.00001552402,0.4646654,0.4349917,0.03852515,0.009157595],"study_design_scores_gemma":[0.004593393,0.00157835,0.02575232,0.0008285373,0.0001009438,0.001283201,0.009883541,0.014654,0.1792084,0.003300783,0.7565936,0.002222956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765291,0.0001318393,0.001652116,0.001137475,0.0002636345,0.0002859886,0.00001219724,0.0001249138,0.0198628],"genre_scores_gemma":[0.995029,0.000001659988,0.004459622,0.0001054061,0.00006265523,0.00002099054,9.219183e-7,0.00001112776,0.0003086114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7180685,"threshold_uncertainty_score":0.4089256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008231374927955223,"score_gpt":0.241416463779167,"score_spread":0.2331850888512118,"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."}}