{"id":"W2130846554","doi":"10.14778/3402707.3402714","title":"RemusDB","year":2011,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Failover; Computer science; Downtime; Overhead (engineering); Database; Virtualization; High availability; Operating system; Virtual machine; Cloud computing","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":[0.001972844,0.0010667,0.0008797407,0.002267284,0.0009553487,0.003980661,0.004233059,0.001129415,0.04553065],"category_scores_gemma":[0.004826207,0.0007819452,0.0007408606,0.001912713,0.000554128,0.00580114,0.004874358,0.001531622,0.03501654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121549,"about_ca_system_score_gemma":0.001343968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003473141,"about_ca_topic_score_gemma":0.002590426,"domain_scores_codex":[0.9971567,0.0004228656,0.0003048184,0.0005493606,0.001215198,0.0003510386],"domain_scores_gemma":[0.9977545,0.0002458299,0.0001184029,0.001320645,0.0003947501,0.0001659525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009568906,0.0001635674,0.002287679,0.0009409062,0.0001487983,0.0004779443,0.000533641,0.002980303,0.009953244,0.07246224,0.5818986,0.3271961],"study_design_scores_gemma":[0.00006992753,0.00005811211,0.0007345447,0.00008667784,0.00003076496,0.000451395,0.0001340095,0.009521268,0.01013562,0.0115319,0.9671993,0.00004661777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.02138103,0.009675113,0.2726698,0.004298624,0.00201329,0.001040488,0.03901657,0.3790392,0.270866],"genre_scores_gemma":[0.2711225,0.007046517,0.3261248,0.00680197,0.001246215,0.001201236,0.1798624,0.03543806,0.1711564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04553065,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204543285509568,"score_gpt":0.1939419989766534,"score_spread":0.1718965661215577,"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."}}