{"id":"W3082773235","doi":"10.1145/3392156","title":"Staleness Control for Edge Data Analytics","year":2020,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Age of Information Optimization","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Austrian Science Fund","keywords":"Computer science; Analytics; Distributed computing; Generality; Overhead (engineering); Synchronization (alternating current); Enhanced Data Rates for GSM Evolution; Data analysis; Edge computing; Data synchronization; Data modeling; Edge device; Real-time computing; Data science; Data mining; Wireless sensor network; Computer network; Database; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001673939,0.0001134672,0.0003952376,0.0002145021,0.0001071661,0.0001394152,0.002761111,0.00002817078,2.792122e-7],"category_scores_gemma":[0.001532241,0.00008268478,0.0001127709,0.001127713,0.00003151205,0.0003643251,0.0006597553,0.00004992211,2.39589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002387757,"about_ca_system_score_gemma":0.00003217241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003180583,"about_ca_topic_score_gemma":2.009178e-7,"domain_scores_codex":[0.9983219,0.00001385338,0.0005638332,0.0002598412,0.0007187951,0.0001217649],"domain_scores_gemma":[0.9973175,0.00008968922,0.0008714962,0.0005667396,0.001091661,0.00006292123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002030663,0.0002105551,0.07918795,0.003314269,0.006707487,1.799031e-7,0.005920046,0.8029611,0.008111066,0.0782691,0.009276427,0.005838742],"study_design_scores_gemma":[0.0003576691,0.00004489432,0.002136657,0.0001195524,0.0004907038,1.240528e-7,0.0001417616,0.9958894,0.0005524562,0.00004742244,0.0001343201,0.00008502734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03966501,0.0001909693,0.9553734,0.003763173,0.0001339236,0.0005674221,0.00002877793,0.00005682773,0.0002205052],"genre_scores_gemma":[0.9914888,0.000005259554,0.008288132,0.0001546591,0.00004554956,0.0000023408,0.000004820236,0.000004667834,0.000005833883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518237,"threshold_uncertainty_score":0.5130876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09909636978250341,"score_gpt":0.2650699645050925,"score_spread":0.165973594722589,"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."}}