{"id":"W1809627455","doi":"10.1002/sec.727","title":"SRC: a multicore NPU‐based TCP stream reassembly card for deep packet inspection","year":2013,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Throughput; Network packet; Computer network; Deep packet inspection; Payload (computing); Stream processing; Timeout; Real-time computing; Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536906,0.0002123396,0.0002337821,0.0001042776,0.0008145859,0.0004042342,0.0007588942,0.0002484616,0.00001860988],"category_scores_gemma":[0.00005584598,0.0002157558,0.0001097339,0.0004140522,0.0001216173,0.0008564597,0.0002929777,0.0004200704,0.00001458485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006071582,"about_ca_system_score_gemma":0.00003200624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003563918,"about_ca_topic_score_gemma":0.0006852518,"domain_scores_codex":[0.9984034,0.0002850929,0.0003616364,0.0004177342,0.0001890811,0.0003430895],"domain_scores_gemma":[0.997726,0.000380725,0.0002119092,0.001221721,0.0002988643,0.0001608167],"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":[0.0002519183,0.001205252,0.002117129,0.0001962103,0.0001747575,0.000002525191,0.011667,0.01392036,0.000267558,0.1929522,0.02812661,0.7491185],"study_design_scores_gemma":[0.0006789218,0.0001598458,0.001887466,0.00005773522,0.00001548097,0.000007402918,0.0001910087,0.9679356,0.0001618495,0.0218994,0.006746173,0.0002590896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1667686,0.004003645,0.8190764,0.004318252,0.0007018978,0.00193215,0.000007009905,0.001046214,0.002145821],"genre_scores_gemma":[0.9884713,0.001022194,0.009153278,0.0007901564,0.0001543128,0.0003076836,0.0000639126,0.00001592734,0.0000211931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9540153,"threshold_uncertainty_score":0.8798266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045930348582752,"score_gpt":0.2287506317983241,"score_spread":0.2182913283124966,"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."}}