{"id":"W3185782941","doi":"10.1109/hpsr52026.2021.9481828","title":"EP4: An Application-Aware Network Architecture with a Customizable Data Plane","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Packet processing; Forwarding plane; Network packet; Network processor; Latency (audio); Computer network; Embedded system; Parsing; OpenFlow; Operating system; Computer architecture; Software-defined networking","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":[0.0001747018,0.0001548293,0.0001762369,0.00002454819,0.0001697042,0.0002290853,0.001556434,0.00006779861,0.00008018105],"category_scores_gemma":[0.00001011137,0.0001152526,0.00001864205,0.0006903569,0.0000276954,0.0003674887,0.0006445292,0.0001832424,0.00005508724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142191,"about_ca_system_score_gemma":0.0001579083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008396709,"about_ca_topic_score_gemma":0.0006456145,"domain_scores_codex":[0.9984249,0.00005462339,0.0001504999,0.0007658342,0.0002340012,0.0003701747],"domain_scores_gemma":[0.9969746,0.0001311211,0.00005527238,0.002607551,0.00007539994,0.0001560793],"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":[0.00007960889,0.0003973267,0.0167484,0.00004472541,0.0001537332,0.0003170968,0.0004342513,0.3321966,0.00005687235,0.08699945,0.2038941,0.3586779],"study_design_scores_gemma":[0.0008100936,0.0001351001,0.001837084,0.00005073663,0.00002530524,0.0004738566,0.00004088276,0.6722335,0.00009166917,0.007119223,0.3165822,0.0006003763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003652629,0.0002927097,0.9950489,0.001234316,0.0001103869,0.0001386032,0.00001382898,0.0004213033,0.00237468],"genre_scores_gemma":[0.174258,0.00005219933,0.8169385,0.00457541,0.001044477,0.00005979737,0.001081752,0.0000436733,0.001946201],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3580775,"threshold_uncertainty_score":0.4699863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710135188472665,"score_gpt":0.2363888312292053,"score_spread":0.2192874793444786,"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."}}