{"id":"W4405244595","doi":"10.1002/spe.3396","title":"Parsing Millions of DNS Records Per Second","year":2024,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parsing; Daemon; SIMD; Parallel computing; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001285307,0.0009541257,0.0006467371,0.002902036,0.0008984781,0.00206432,0.001095003,0.0007157421,0.0114408],"category_scores_gemma":[0.006605304,0.0006409825,0.0004725302,0.002681087,0.0004011264,0.002137542,0.001393636,0.0009433657,0.007022853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062503,"about_ca_system_score_gemma":0.001642574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006119843,"about_ca_topic_score_gemma":0.00510342,"domain_scores_codex":[0.9978536,0.0002557276,0.0002559716,0.0005190911,0.0009453173,0.0001702314],"domain_scores_gemma":[0.9952595,0.001320816,0.00024343,0.001427054,0.001593439,0.0001558234],"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":[0.001242546,0.0003201728,0.0240966,0.0005366314,0.0002505084,0.001021289,0.0007363464,0.02500921,0.06096297,0.01749748,0.1745239,0.6938024],"study_design_scores_gemma":[0.0001875179,0.0002266459,0.02516692,0.00017531,0.0001485054,0.001310941,0.001575767,0.5171732,0.232801,0.02639864,0.1946003,0.0002353133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.231712,0.0010431,0.4528311,0.002473673,0.001110338,0.0007783731,0.02984797,0.2414715,0.03873193],"genre_scores_gemma":[0.5364831,0.0007195925,0.3964619,0.0007435423,0.0002357088,0.0003961684,0.03793378,0.005124779,0.02190145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0114408,"threshold_uncertainty_score":0.03827333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020756558899669,"score_gpt":0.2646817869432221,"score_spread":0.2544742213542254,"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."}}