{"id":"W4242332640","doi":"10.1007/978-0-387-39940-9_3854","title":"Traditional Replica and Concurrency Control Strategies","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Replica; Concurrency control; Computer science; Concurrency; Control (management); Distributed computing; History; Programming language; Database transaction; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002307112,0.001193086,0.001009654,0.001273022,0.001140439,0.004700139,0.003739623,0.001253561,0.01284806],"category_scores_gemma":[0.00743291,0.0007635676,0.0006433805,0.002370791,0.003783038,0.008098375,0.002460903,0.002862706,0.004049502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547372,"about_ca_system_score_gemma":0.002055909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156142,"about_ca_topic_score_gemma":0.001257151,"domain_scores_codex":[0.9975854,0.0004152338,0.0001564636,0.0005123901,0.001142732,0.0001877034],"domain_scores_gemma":[0.9964678,0.001188845,0.0001631546,0.001551251,0.0005078082,0.0001211362],"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":[0.0000904141,0.0000481449,0.0001221288,0.0002544913,0.00001972633,0.00005332413,0.0004913186,0.004630807,0.002311069,0.851357,0.007255834,0.1333659],"study_design_scores_gemma":[0.00008079597,0.00007253397,0.0001022425,0.0001543499,0.00005702695,0.0003242477,0.00013451,0.04030946,0.005976235,0.8312907,0.1214537,0.00004421397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008139916,0.01362226,0.8749428,0.001197292,0.0007979225,0.0002367722,0.000153349,0.001691887,0.09921787],"genre_scores_gemma":[0.3211775,0.01691575,0.509068,0.001002758,0.001285991,0.0008330746,0.0004346082,0.001219838,0.1480625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01284806,"threshold_uncertainty_score":0.04298103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234790602032386,"score_gpt":0.2293337209420274,"score_spread":0.2069858149217036,"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."}}