{"id":"W1969434100","doi":"10.1145/2523616.2523632","title":"Consistency without borders","year":2013,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Information and Intelligent Systems; Air Force Office of Scientific Research; Division of Graduate Education; Defense Advanced Research Projects Agency; Directorate for Computer and Information Science and Engineering; Nippon Telegraph and Telephone; Samsung; VMware; EMC; NetApp; National Science Foundation; Google; Microsoft; Oracle; Division of Computer and Network Systems; Division of Computing and Communication Foundations; Natural Sciences and Engineering Research Council of Canada; Cisco Systems; Facebook; SAP North America; General Electric; Intel Corporation","keywords":"Consistency (knowledge bases); Computer science; Consistency model; Linearizability; Sequential consistency; Weak consistency; Causal consistency; Eventual consistency; Data consistency; Strong consistency; Distributed computing; Programming language; Artificial intelligence; Mathematics; Correctness; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008395195,0.001023838,0.001784013,0.001371736,0.003880917,0.009018345,0.004321966,0.00332377,0.02008998],"category_scores_gemma":[0.03628297,0.001320353,0.00198025,0.001759865,0.006840168,0.02339472,0.0127447,0.007682822,0.006408707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460618,"about_ca_system_score_gemma":0.004278036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003032692,"about_ca_topic_score_gemma":0.00170784,"domain_scores_codex":[0.9877093,0.002898965,0.001200375,0.003811993,0.003078127,0.001301182],"domain_scores_gemma":[0.9706486,0.006649281,0.00128985,0.01594029,0.004482388,0.0009896487],"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":[0.00004692661,0.00002023664,0.0003573412,0.0001146331,0.00002479029,0.0001122068,0.0003719531,0.0023259,0.0007707279,0.9703155,0.009451494,0.01608837],"study_design_scores_gemma":[0.00004062217,0.00002389337,0.0001367541,0.0001147962,0.00003629554,0.0001855214,0.0001466609,0.006788103,0.00159182,0.8663132,0.1245953,0.00002708871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161077,0.003475759,0.8246565,0.008773684,0.002275624,0.0003465704,0.0008541129,0.002983899,0.1450231],"genre_scores_gemma":[0.4877492,0.005024534,0.3690738,0.008602632,0.003190048,0.001519599,0.003330522,0.004404455,0.1171052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02008998,"threshold_uncertainty_score":0.06720769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009625182989871833,"score_gpt":0.2406330533606223,"score_spread":0.2310078703707504,"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."}}