{"id":"W2915576041","doi":"10.1145/3301293.3302355","title":"Reconfigurable Streaming for the Mobile Edge","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stream processing; Computer science; Control reconfiguration; Distributed computing; Computer network; Enhanced Data Rates for GSM Evolution; Network topology; Edge device; Telecommunications; Embedded system; Cloud computing; Operating system","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":[0.0002560814,0.0004160719,0.0003244287,0.0002967267,0.0003988627,0.0008892675,0.0008158381,0.0003896187,0.004932131],"category_scores_gemma":[0.0008801583,0.0001818896,0.0002134044,0.0002845041,0.0002372766,0.001066275,0.0007895017,0.0007083011,0.001478612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528146,"about_ca_system_score_gemma":0.0003843056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723903,"about_ca_topic_score_gemma":0.002822051,"domain_scores_codex":[0.999805,0.00002247775,0.000009735956,0.00004274879,0.00007616662,0.00004379887],"domain_scores_gemma":[0.9997495,0.00004633004,0.00001581822,0.00007372469,0.00007158213,0.00004297908],"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":[0.001525149,0.0002043203,0.002692687,0.0003508524,0.00008008831,0.001115852,0.0004329004,0.08823414,0.1646971,0.07597412,0.07334533,0.5913475],"study_design_scores_gemma":[0.0001864529,0.0003877945,0.001686392,0.00008967745,0.00005076522,0.0008094246,0.0001553294,0.7299639,0.05456676,0.03323048,0.1788055,0.00006751679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1199131,0.003615365,0.7771271,0.002163217,0.001067918,0.0003693668,0.0009451183,0.02355326,0.07124556],"genre_scores_gemma":[0.7145895,0.00134641,0.2586394,0.000776917,0.0003275926,0.0001390288,0.001058072,0.0009007506,0.02222235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004932131,"threshold_uncertainty_score":0.01649964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213921356657384,"score_gpt":0.2278824189095086,"score_spread":0.2157432053429348,"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."}}