{"id":"W2912902802","doi":"10.1109/mwscas.2018.8623871","title":"Extending a CPU Cache for Efficient IPv6 Lookup","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Cache; Parallel computing; 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":[0.0002531437,0.00007065359,0.00006778125,0.00005005655,0.0002205397,0.0001690488,0.0003109773,0.00003265039,0.00001756924],"category_scores_gemma":[0.00002981612,0.00005737119,0.00002985544,0.0002663644,0.00003603991,0.0001305609,0.00007498825,0.00003038123,0.00004871333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156801,"about_ca_system_score_gemma":0.00003546841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003061543,"about_ca_topic_score_gemma":0.000003167161,"domain_scores_codex":[0.9993,0.00001302213,0.000107621,0.00025094,0.0001080599,0.0002203535],"domain_scores_gemma":[0.9995083,0.00004954883,0.00004210006,0.0002290639,0.0001195251,0.00005149661],"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":[0.00003414191,0.0002331752,0.0002373954,0.00006674993,0.00003155197,0.000003991816,0.003362091,0.03345185,0.001006809,0.2891292,0.03974769,0.6326953],"study_design_scores_gemma":[0.000186604,0.00007175857,0.00003695654,0.00001655641,0.000002973174,0.000004094647,0.00001289195,0.9889483,0.002930037,0.001398044,0.006292214,0.00009950592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002306484,0.00006528637,0.9858223,0.0003609042,0.000451017,0.0001030131,2.54914e-7,0.0002141623,0.01067658],"genre_scores_gemma":[0.6171451,0.000002296305,0.3796758,0.0003911607,0.0002993518,0.00001392937,0.000001377969,0.000007166161,0.00246381],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9554965,"threshold_uncertainty_score":0.2339529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811185209683831,"score_gpt":0.2726904514711619,"score_spread":0.2545785993743236,"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."}}