{"id":"W2534978811","doi":"10.17148/ijarcce.2015.412150","title":"Comparative Performance Analysis of PostgreSQL High Availability Database Clusters through Containment","year":2015,"lang":"en","type":"article","venue":"IJARCCE","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Containment (computer programming); Database; Computer science","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":[0.002937223,0.0008024474,0.000733984,0.001763831,0.001117241,0.00194522,0.002442339,0.0006519519,0.003080482],"category_scores_gemma":[0.006445402,0.0003860638,0.0004571701,0.003772187,0.0008163704,0.002383815,0.001440369,0.0006747681,0.0008776116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866254,"about_ca_system_score_gemma":0.001738265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388455,"about_ca_topic_score_gemma":0.007357613,"domain_scores_codex":[0.9950334,0.0008496028,0.0004129812,0.0008817065,0.001822814,0.0009994904],"domain_scores_gemma":[0.9907038,0.002862004,0.0007059429,0.001624794,0.003113742,0.0009897305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02092844,0.00364563,0.09254159,0.002354031,0.001073098,0.001263253,0.003697609,0.3870738,0.1324743,0.01294755,0.07068986,0.2713107],"study_design_scores_gemma":[0.0008260313,0.006489344,0.1000922,0.00006912799,0.0003430638,0.0007174439,0.00362362,0.750658,0.1158929,0.001927108,0.01911425,0.0002470078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835925,0.0008084558,0.004593206,0.0002737777,0.00006192338,0.00007667811,0.00111304,0.004802002,0.004678428],"genre_scores_gemma":[0.9885898,0.0001911286,0.006053014,0.00006218425,0.00001950261,0.00005110631,0.003466165,0.0001912365,0.001375867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388455,"threshold_uncertainty_score":0.02760744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810796018103527,"score_gpt":0.288843000620772,"score_spread":0.2407350404397367,"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."}}