{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411739,0.0005498388,0.0005260317,0.0008905079,0.0004101692,0.0007519291,0.002485379,0.0003619156,0.004836746],"category_scores_gemma":[0.001421444,0.0003431608,0.0002096393,0.0006046607,0.0003173333,0.001120954,0.000646046,0.0006295744,0.001212114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007105366,"about_ca_system_score_gemma":0.001214176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864343,"about_ca_topic_score_gemma":0.001954252,"domain_scores_codex":[0.9993406,0.0001024431,0.00006330592,0.0001165785,0.0002659056,0.000111157],"domain_scores_gemma":[0.9987167,0.0001765472,0.0001874339,0.000268353,0.0005264741,0.0001245759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005311247,0.001150383,0.01378547,0.0007264215,0.0002440259,0.0008726213,0.0003521357,0.02929282,0.2922778,0.01136408,0.0779762,0.5666468],"study_design_scores_gemma":[0.0005446768,0.002612327,0.006667683,0.00005583184,0.0002332554,0.001206531,0.00008218458,0.6278942,0.3035183,0.001125636,0.05586642,0.0001928767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3559319,0.002015317,0.5658509,0.0003743951,0.0008125592,0.001232713,0.0007566762,0.05613326,0.01689229],"genre_scores_gemma":[0.8538892,0.0003019471,0.1330315,0.0002967197,0.0001141514,0.0002307102,0.001001432,0.0003291797,0.01080505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004836746,"threshold_uncertainty_score":0.01618052,"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."}}