{"id":"W3030147862","doi":"10.1145/3318464.3380593","title":"ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching","year":2020,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cache; Benchmark (surveying); Exploit; Latency (audio); Enhanced Data Rates for GSM Evolution; Database; Data access; Computer network; Distributed computing; Computer security","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":[0.001900807,0.001119628,0.001042063,0.001057463,0.001158926,0.002333175,0.004785801,0.0009304553,0.001479109],"category_scores_gemma":[0.007270765,0.0006508497,0.0004521167,0.001456569,0.0009983296,0.002937361,0.002351636,0.001544508,0.0006247801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538339,"about_ca_system_score_gemma":0.003850074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013542,"about_ca_topic_score_gemma":0.02681553,"domain_scores_codex":[0.9982462,0.0002539243,0.0001245509,0.000366913,0.00069659,0.0003117311],"domain_scores_gemma":[0.9939107,0.001332593,0.0003718766,0.002529536,0.001262653,0.0005926158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006578255,0.001837477,0.04524595,0.0006523081,0.0005875867,0.001149293,0.0009381786,0.1525023,0.1723431,0.01799675,0.1039495,0.4962194],"study_design_scores_gemma":[0.000189016,0.0003667714,0.003906898,0.00002282645,0.00009640377,0.0004230237,0.0001411454,0.9519155,0.02797053,0.00424981,0.01059157,0.0001264519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3263354,0.007049433,0.5226055,0.001279756,0.000761797,0.0008977241,0.002151505,0.1286021,0.01031679],"genre_scores_gemma":[0.8997794,0.0007259953,0.09312563,0.0004587699,0.000162733,0.0001667644,0.001573452,0.0007597787,0.003247476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02013542,"threshold_uncertainty_score":0.04003638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918604826532457,"score_gpt":0.2121329599490268,"score_spread":0.1929469116837023,"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."}}