{"id":"W2043953242","doi":"10.1145/1217935.1217945","title":"Database replication policies for dynamic content applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Replica; Replication (statistics); Server; Database; Distributed computing; Benchmark (surveying); Database server; Fault tolerance; Latency (audio); 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":[0.0001370453,0.00006587723,0.00007953675,0.00003210819,0.0001098946,0.0000976179,0.0004157144,0.00002291487,0.000001939894],"category_scores_gemma":[0.000008710772,0.00005688451,0.00003866072,0.0001809077,0.00001746165,0.0002255024,0.00004879775,0.00002276339,0.00003034145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003083082,"about_ca_system_score_gemma":0.00002023099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004174051,"about_ca_topic_score_gemma":0.00009628483,"domain_scores_codex":[0.9992474,0.000007627886,0.0001966859,0.0003096511,0.00009047116,0.0001481055],"domain_scores_gemma":[0.9988256,0.00003433399,0.00006924341,0.0009249006,0.000114738,0.00003119222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001026684,0.00005500199,0.000112962,0.00001335808,0.000002905624,1.112268e-7,0.00001136429,0.00003898435,0.007162554,0.9722941,0.009482116,0.0108255],"study_design_scores_gemma":[0.0006152616,0.00003754819,0.009620482,0.00001776591,0.000007026745,0.0000147503,0.00005431764,0.2508667,0.003907111,0.01055736,0.7239926,0.0003090535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000842187,0.0001175943,0.9925781,0.001765803,0.00005363375,0.0005657809,0.0001173543,0.0001910946,0.003768473],"genre_scores_gemma":[0.9241143,0.000005447554,0.06820339,0.0003756628,0.00008331377,0.001076531,0.0003457312,0.000006953069,0.005788703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9617367,"threshold_uncertainty_score":0.2319683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003122026065404,"score_gpt":0.2865328940277339,"score_spread":0.2565016737670799,"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."}}