{"id":"W2126740112","doi":"10.1109/pccc.2011.6108075","title":"Dynamic data allocation with replication in distributed systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Replication (statistics); Locality; Overhead (engineering); Distributed computing; Fragment (logic); Distributed database; Computer network; Algorithm; Operating system","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":[0.0004133607,0.0000919708,0.0001227033,0.00004941218,0.00003562863,0.00009118932,0.001305098,0.00004337709,0.000003475005],"category_scores_gemma":[0.00002002881,0.00007057196,0.000007778879,0.000508093,0.00001805582,0.0008340045,0.0001589893,0.00006229928,0.00003536871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295466,"about_ca_system_score_gemma":0.00004752458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000958376,"about_ca_topic_score_gemma":0.000335627,"domain_scores_codex":[0.9987798,0.00004279812,0.000258101,0.000578076,0.0001693708,0.0001718696],"domain_scores_gemma":[0.9971372,0.00001385061,0.0001049435,0.002614772,0.00008086774,0.00004834941],"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":[0.0001026518,0.00119783,0.04273107,0.0002774135,0.0001111771,0.000110743,0.002405717,0.003130759,0.001455016,0.8784921,0.01029278,0.05969277],"study_design_scores_gemma":[0.0003057178,0.00004195737,0.0500798,0.00006077737,0.000002685835,0.00002966197,0.00008982939,0.9454908,0.00005039234,0.0001440402,0.003538769,0.0001655773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00676489,0.00008952038,0.9894074,0.0001626811,0.0001152009,0.0002760929,0.00005221636,0.0001580323,0.002974003],"genre_scores_gemma":[0.9901217,0.00000577664,0.009229679,0.00002410602,0.000006217074,0.00003895618,0.0004060483,0.000004815106,0.0001626914],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9833568,"threshold_uncertainty_score":0.2877841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575418189555057,"score_gpt":0.2609761386079316,"score_spread":0.215221956712381,"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."}}