{"id":"W2005480575","doi":"10.14778/1920841.1920847","title":"Database replication","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Branco Weiss Fellowship – Society in Science; Eidgenössische Technische Hochschule Zürich; McGill University","keywords":"Computer science; Scalability; Replication (statistics); Distributed computing; Eventual consistency; Database transaction; Consistency (knowledge bases); Fault tolerance; Overhead (engineering); Distributed database; Cloud computing; Database; Transaction processing; Data consistency; Weak consistency; Concurrency control; Strong consistency; Consistency model; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006774351,0.001281474,0.002026855,0.002715617,0.00289862,0.009341591,0.006589223,0.002556593,0.03983166],"category_scores_gemma":[0.02422198,0.001038776,0.002017016,0.004029627,0.00132129,0.008225502,0.008716768,0.002684592,0.04784692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783702,"about_ca_system_score_gemma":0.00449107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177779,"about_ca_topic_score_gemma":0.001263215,"domain_scores_codex":[0.9860547,0.00225424,0.001606201,0.002335795,0.006848558,0.0009005805],"domain_scores_gemma":[0.9751375,0.00207402,0.000869839,0.01446222,0.006427553,0.001028782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004062108,0.0001925719,0.002042039,0.001641266,0.0002324496,0.000560236,0.0006385805,0.005466419,0.01152039,0.1871101,0.3147606,0.4754291],"study_design_scores_gemma":[0.00008849312,0.000118234,0.0004505609,0.00019942,0.00006227005,0.001112663,0.0001996777,0.006683093,0.005832228,0.04750039,0.9376683,0.00008471611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008233492,0.01436668,0.7167119,0.005970224,0.009025815,0.003111641,0.00854926,0.02856207,0.2054688],"genre_scores_gemma":[0.2271568,0.01578289,0.4965587,0.006242869,0.005889824,0.002387249,0.03032613,0.005117653,0.2105379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03983166,"threshold_uncertainty_score":0.1332502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009657613492116489,"score_gpt":0.2334682218386412,"score_spread":0.2238106083465247,"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."}}