{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.005060522,0.0002017643,0.0004336881,0.0002504181,0.0001232871,0.0001470115,0.005612982,0.00005903594,0.00004489929],"category_scores_gemma":[0.01411553,0.0001836589,0.00007060885,0.003566153,0.00003014627,0.00167755,0.001208681,0.0001376882,0.00008125151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007355591,"about_ca_system_score_gemma":0.0003174288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001136285,"about_ca_topic_score_gemma":3.090635e-7,"domain_scores_codex":[0.9972978,0.0001483924,0.0006125158,0.0007199524,0.0009363692,0.0002849374],"domain_scores_gemma":[0.9947059,0.0006314141,0.0003821432,0.003385762,0.0007544452,0.000140327],"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":[0.000004740979,0.00003073032,0.0007154719,0.001326894,0.00003136729,5.030599e-7,0.00003223851,0.00005754692,0.00001375185,0.0007644019,0.07805163,0.9189707],"study_design_scores_gemma":[0.0005630031,0.0002141383,0.0004876877,0.0004776346,0.0002132561,0.00000259133,0.000002119542,0.8402576,0.0001682074,0.0001636365,0.157197,0.0002530594],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004157782,0.03775718,0.950597,0.007785223,0.0002259952,0.002367047,0.0002361785,0.0003303478,0.0002852337],"genre_scores_gemma":[0.269091,0.1192497,0.5862471,0.02228288,0.0004281681,0.000746459,0.001854975,0.00005858968,0.00004112907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9187177,"threshold_uncertainty_score":0.9997671,"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."}}