{"id":"W4249902410","doi":"10.1145/3009925.3009928","title":"AdaptCache","year":2016,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Server; Locality; Distributed computing; Replication (statistics); Workload; Middleware (distributed applications); Cache; Distributed object; Replicate; Locality of reference; Load balancing (electrical power); File server; Operating system; Object (grammar); Consistency (knowledge bases); Distributed database; Common Object Request Broker Architecture","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":[0.001318763,0.001167141,0.001303699,0.001607705,0.001714283,0.003339323,0.005831311,0.001697349,0.03366869],"category_scores_gemma":[0.006034886,0.000851527,0.0007558143,0.002605285,0.0007133785,0.005953224,0.004132894,0.003012658,0.01144112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018211,"about_ca_system_score_gemma":0.002909285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007641841,"about_ca_topic_score_gemma":0.008565114,"domain_scores_codex":[0.9974239,0.0003162523,0.0001558549,0.0002833013,0.00147383,0.0003468526],"domain_scores_gemma":[0.996632,0.0004830954,0.0001194597,0.001389379,0.001042785,0.0003332867],"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":[0.001037465,0.0004337783,0.002387495,0.0007137276,0.0001787038,0.0002682758,0.0003257534,0.01333767,0.006258754,0.06191415,0.4987745,0.4143697],"study_design_scores_gemma":[0.0001743149,0.0001489474,0.0007913165,0.0001365946,0.00008110858,0.0004967191,0.000103587,0.07615199,0.007798036,0.02332945,0.8906609,0.0001269526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02716798,0.01518612,0.4397395,0.005373448,0.005624412,0.002027356,0.007968813,0.2516978,0.2452145],"genre_scores_gemma":[0.2617123,0.01312475,0.365619,0.007713357,0.001985205,0.002455191,0.0373277,0.03518788,0.2748746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03366869,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527495970347084,"score_gpt":0.1888694124754905,"score_spread":0.1735944527720197,"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."}}