{"id":"W1973115038","doi":"10.1145/937598.937601","title":"Are quorums an alternative for data replication?","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Replication (statistics); Scalability; Overhead (engineering); Replicate; Distributed computing; Consistency (knowledge bases); Eventual consistency; Selection (genetic algorithm); Data access; Data consistency; Consistency model; Database; Programming language; Artificial intelligence","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":[0.001019263,0.0002115714,0.0002701318,0.0001096116,0.0003662662,0.0002860872,0.002940777,0.00006847743,0.000008600126],"category_scores_gemma":[0.0002264319,0.0001978387,0.00005821977,0.0004004269,0.0000319423,0.001570897,0.00003012916,0.0001520894,0.00006759712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000621909,"about_ca_system_score_gemma":0.00007522446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003000261,"about_ca_topic_score_gemma":0.0001027162,"domain_scores_codex":[0.9974681,0.0002114128,0.0004437069,0.001207855,0.0003400608,0.0003289267],"domain_scores_gemma":[0.9898357,0.0002005647,0.000308832,0.009291735,0.0001818246,0.0001813188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002358394,0.005850502,0.0009087333,0.001475437,0.001197891,0.0001539644,0.001832866,0.03085976,0.004745557,0.708931,0.09163543,0.152173],"study_design_scores_gemma":[0.001554626,0.0001926529,0.000128421,0.0003205599,0.00004436214,0.0001406054,0.0006725869,0.32645,0.002342142,0.0006314173,0.6668081,0.0007144853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000476628,0.000186613,0.9896952,0.0003626711,0.001473604,0.000891305,0.006437166,0.0002152421,0.000261597],"genre_scores_gemma":[0.9465595,0.00003281419,0.05020843,0.0002736149,0.0001567689,0.0007003801,0.00120459,0.00003777323,0.0008261548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9460828,"threshold_uncertainty_score":0.8067627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108332601636947,"score_gpt":0.3436451194508417,"score_spread":0.232811859287147,"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."}}