{"id":"W1542807488","doi":"10.1007/978-3-642-04355-0_47","title":"From Almost Everywhere to Everywhere: Byzantine Agreement with $\\tilde{O}(n^{3/2})$ Bits","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scalability; Leader election; Adversary; Set (abstract data type); Byzantine fault tolerance; Theoretical computer science; Distributed computing; Discrete mathematics; Parallel computing; Algorithm; Computer security; Fault tolerance; Mathematics","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":[0.003878185,0.000847066,0.001624747,0.001111817,0.005721451,0.007272986,0.00194941,0.003232243,0.01670334],"category_scores_gemma":[0.01292785,0.0008636975,0.001036042,0.0021495,0.008889507,0.02240683,0.007161758,0.008892608,0.005746366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111023,"about_ca_system_score_gemma":0.001982812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000909062,"about_ca_topic_score_gemma":0.0009157088,"domain_scores_codex":[0.9948205,0.002118358,0.0002888817,0.00083475,0.001201643,0.0007357642],"domain_scores_gemma":[0.9939827,0.00289004,0.0002365099,0.002057627,0.0005874108,0.0002456618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002095112,0.000004346564,0.00001003677,0.00001308003,0.000001557183,0.00000970605,0.0001528574,0.0001836697,0.0001232453,0.9934865,0.0019503,0.00404359],"study_design_scores_gemma":[0.000005411263,0.0000028347,0.000005075646,0.00001170441,0.000002076436,0.00001343754,0.00003454093,0.0007329368,0.0003206826,0.9932694,0.005595997,0.000005969495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0305593,0.001797871,0.6362776,0.01642731,0.001970577,0.000177044,0.0005368487,0.001832122,0.3104213],"genre_scores_gemma":[0.7331513,0.001707203,0.1478232,0.00308784,0.0009435278,0.0005676997,0.0004407198,0.002077028,0.1102015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01670334,"threshold_uncertainty_score":0.05587822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089534181439466,"score_gpt":0.2263157482643426,"score_spread":0.2154204064499479,"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."}}