{"id":"W2112527958","doi":"10.1145/1538909.1538913","title":"Snapshot isolation and integrity constraints in replicated databases","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Seventh Framework Programme; Federación Española de Enfermedades Raras","keywords":"Computer science; Serializability; Correctness; Replica; Data integrity; Snapshot (computer storage); Database; Isolation (microbiology); Distributed computing; Rollback; Concurrency control; Two-phase locking; Distributed database; Fault tolerance; Database transaction; Distributed transaction; Transaction processing; Programming language","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":[0.004761039,0.0006814023,0.0007569343,0.001284008,0.001154748,0.003939955,0.002604337,0.001881292,0.001917357],"category_scores_gemma":[0.01512338,0.0007747728,0.0009741287,0.002360591,0.004676317,0.00833667,0.003135661,0.003178799,0.0004947254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131503,"about_ca_system_score_gemma":0.001985819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052251,"about_ca_topic_score_gemma":0.001319135,"domain_scores_codex":[0.992069,0.002391767,0.00103155,0.001083004,0.002892823,0.0005319468],"domain_scores_gemma":[0.9878407,0.006686011,0.001386865,0.002240202,0.00149998,0.0003462012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004369821,0.00003834313,0.0003872179,0.0001786209,0.00002275079,0.0005031926,0.0005667345,0.01277136,0.002530899,0.965076,0.001342726,0.01653843],"study_design_scores_gemma":[0.00007298148,0.00009162417,0.0004016838,0.0001195807,0.00005377669,0.0007562116,0.0002860719,0.07632276,0.008460076,0.8764246,0.03695431,0.00005641061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02412757,0.002673093,0.9545694,0.001631581,0.0002090422,0.0001835933,0.0003711981,0.0004134653,0.01582098],"genre_scores_gemma":[0.6112283,0.00335811,0.3743851,0.0008834837,0.0007010823,0.0006294785,0.0007677842,0.0002196213,0.007826959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004761039,"threshold_uncertainty_score":0.02517909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464981699830389,"score_gpt":0.2969985777953138,"score_spread":0.2523487607970099,"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."}}