{"id":"W4214613431","doi":"10.1145/3410048.3410060","title":"Staleness Control for Edge Data Analytics","year":2020,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Analytics; Generality; Distributed computing; Synchronization (alternating current); Enhanced Data Rates for GSM Evolution; Data analysis; Edge computing; Data synchronization; Data science; Big data; Real-time computing; Data mining; Wireless sensor network; Computer network; Artificial intelligence; Channel (broadcasting)","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":[0.00296397,0.0006381737,0.000782842,0.0009593948,0.0007267375,0.00188719,0.002311864,0.0007174658,0.001543639],"category_scores_gemma":[0.009847512,0.0004308176,0.0006022764,0.0009380145,0.001617812,0.003480851,0.00258926,0.002376642,0.0004280128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376236,"about_ca_system_score_gemma":0.001609043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906173,"about_ca_topic_score_gemma":0.001963959,"domain_scores_codex":[0.9980883,0.0004261379,0.000125953,0.0005558337,0.0006140624,0.0001895831],"domain_scores_gemma":[0.9952301,0.002071578,0.0007262166,0.001060783,0.0006978082,0.0002134921],"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":[0.0004578231,0.0001643751,0.002956208,0.0002369963,0.00009730442,0.0002057463,0.0004873232,0.6332911,0.01703687,0.2106735,0.004822202,0.1295706],"study_design_scores_gemma":[0.00001583799,0.00005218987,0.0001612807,0.00001124774,0.000008771401,0.00002150169,0.00001861267,0.9607816,0.002745394,0.03447898,0.00169353,0.00001111676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01743483,0.0003579303,0.9789903,0.0002941047,0.00006852726,0.00005259381,0.00006260686,0.0007893419,0.001949865],"genre_scores_gemma":[0.9023438,0.0004405145,0.09482254,0.0002924491,0.00009137414,0.0001287685,0.0001836541,0.0001098843,0.00158705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00296397,"threshold_uncertainty_score":0.01567519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3086686594309092,"score_gpt":0.4044584795626588,"score_spread":0.09578982013174964,"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."}}