{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000264214,0.0001553104,0.0001736527,0.00006253582,0.000110714,0.0001116953,0.0001119689,0.00009891199,0.0003403854],"category_scores_gemma":[0.0003400545,0.000156685,0.00005134735,0.0002429259,0.0001149296,0.001175144,0.00006673346,0.0003023351,0.00002661968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005192389,"about_ca_system_score_gemma":0.00003531665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007305043,"about_ca_topic_score_gemma":0.00007841066,"domain_scores_codex":[0.9989767,0.00004331147,0.0002413864,0.0002771523,0.0001659352,0.0002954895],"domain_scores_gemma":[0.9989482,0.0005990721,0.00003204313,0.000263093,0.00006779304,0.00008977987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004012451,0.0005915802,0.01181772,0.005738413,0.0006882652,0.0004720908,0.5706046,0.004075333,0.01691507,0.003517833,0.03083996,0.3543379],"study_design_scores_gemma":[0.0004908507,0.0002246043,0.001625152,0.0005664935,0.0001947252,0.0004201545,0.02674539,0.02031527,0.009261275,0.001597993,0.9375018,0.001056244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392159,0.02723743,0.02611978,0.0002228056,0.002644376,0.0002588426,0.00003487767,0.0006624609,0.003603506],"genre_scores_gemma":[0.9924504,0.0009696909,0.006111211,0.0001089529,0.000155871,0.00004051741,0.000004480611,0.00002988416,0.0001290267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066619,"threshold_uncertainty_score":0.6389429,"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."}}