{"id":"W4413797267","doi":"10.55248/gengpi.6.0825.3072","title":"High IO Performance User Space Networking with eBPF/XDP and AF_XDP: Design, Tuning, and Architectural Insights","year":2025,"lang":"en","type":"article","venue":"International Journal of Research Publication and Reviews","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Space (punctuation); 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":[0.002239801,0.00009880534,0.0001904621,0.0005684945,0.0002119899,0.0007054437,0.000560554,0.00003550523,0.000001642689],"category_scores_gemma":[0.0002302286,0.00006354693,0.00002535004,0.0004426293,0.0001342856,0.0006405598,0.0003218006,0.0003893611,0.000001762539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004542099,"about_ca_system_score_gemma":0.0001329381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086836,"about_ca_topic_score_gemma":0.000001882198,"domain_scores_codex":[0.9985033,0.0002884519,0.0003567758,0.0002035092,0.0004608007,0.0001871918],"domain_scores_gemma":[0.9982604,0.0002856978,0.0002366206,0.0001454631,0.0009556225,0.0001162436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007597945,0.00004137708,0.01019738,0.0001075378,0.00009617486,0.00001464496,0.001198993,0.00002993082,0.0003098556,0.01471823,0.0163408,0.9568691],"study_design_scores_gemma":[0.0009227481,0.0002750823,0.0270041,0.001660878,0.00001024308,0.0005136052,0.00002837213,0.03176403,0.0003678722,0.002666444,0.9346084,0.0001782202],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3386929,0.04626327,0.552133,0.05536551,0.003849937,0.0008537113,2.318301e-7,0.00005428497,0.002787211],"genre_scores_gemma":[0.8459767,0.03714304,0.1102498,0.001230244,0.002737714,0.00002581916,0.000003931941,0.00001612365,0.002616755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9566908,"threshold_uncertainty_score":0.680261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0597601791276997,"score_gpt":0.3589512028635005,"score_spread":0.2991910237358008,"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."}}