{"id":"W1545511512","doi":"10.5555/2043468.2043512","title":"Two-level cache architecture to reduce memory accesses for IP lookups","year":2011,"lang":"en","type":"article","venue":"International Teletraffic Congress","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Parallel computing; Cache; Bottleneck; Routing table; Tree traversal; Prefix; Computer network; Network packet; Operating system; Routing protocol; Embedded system; Algorithm","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":[0.000407832,0.0005985772,0.0006788449,0.001094418,0.0006641118,0.001263593,0.003212642,0.0007364015,0.003744218],"category_scores_gemma":[0.001689609,0.0003633259,0.0003790621,0.001826762,0.0003127645,0.002247686,0.0007145315,0.0007483331,0.0008169397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401034,"about_ca_system_score_gemma":0.001911777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00476301,"about_ca_topic_score_gemma":0.01222181,"domain_scores_codex":[0.9996274,0.00005391771,0.00003586724,0.00006028957,0.0001271677,0.00009543495],"domain_scores_gemma":[0.9983805,0.0003325358,0.0001116165,0.0004550812,0.0006195299,0.0001006885],"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":[0.001617253,0.001569865,0.01378732,0.0005397334,0.0002466856,0.0005070558,0.0003329987,0.2715053,0.1279647,0.03069118,0.02512715,0.5261108],"study_design_scores_gemma":[0.0002090084,0.0006882781,0.001197488,0.00002411086,0.00009853076,0.000334611,0.00005403599,0.9446207,0.03908537,0.004214858,0.009419416,0.00005359779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4181966,0.003128703,0.5513497,0.0007842729,0.0003116499,0.0002508897,0.0004371585,0.009516828,0.01602419],"genre_scores_gemma":[0.8692383,0.0003444407,0.1243525,0.0002045192,0.00007000648,0.0001540705,0.0004327905,0.0001082624,0.005095172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00476301,"threshold_uncertainty_score":0.01252562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634416463568282,"score_gpt":0.3069556644432329,"score_spread":0.2435140180864047,"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."}}