{"id":"W4299161184","doi":"10.48550/arxiv.1712.01779","title":"Pay for a Sliding Bloom Filter and Get Counting, Distinct Elements, and\\n Entropy for Free","year":2017,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Bloom filter; Sliding window protocol; Computer science; Network packet; The Internet; Entropy (arrow of time); Denial-of-service attack; Window (computing); Real-time computing; Distributed computing; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00347548,0.0009770045,0.001361709,0.001699161,0.002497465,0.003994829,0.002855578,0.002811341,0.01301354],"category_scores_gemma":[0.01360358,0.001013744,0.001540473,0.002463503,0.00339757,0.01295004,0.006058814,0.003868265,0.002469625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002947799,"about_ca_system_score_gemma":0.003942194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248093,"about_ca_topic_score_gemma":0.004208282,"domain_scores_codex":[0.9966808,0.0006801385,0.0002109104,0.0006692881,0.001368389,0.0003904697],"domain_scores_gemma":[0.9913865,0.002394794,0.0004879388,0.00467053,0.0007026118,0.0003576431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002661939,0.0001623681,0.002846431,0.0001188806,0.00008692995,0.0001404391,0.0003185399,0.02728405,0.01124176,0.7618815,0.01172671,0.1839263],"study_design_scores_gemma":[0.0001116417,0.0001957514,0.0007700284,0.00006422821,0.00008387362,0.0005143902,0.0001815466,0.3929168,0.01845948,0.5477346,0.03888499,0.00008262053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01771356,0.0002914079,0.9688845,0.002258661,0.0001731851,0.0001469035,0.0001052071,0.002317846,0.008108776],"genre_scores_gemma":[0.3271546,0.0004031424,0.6560695,0.001032172,0.0002935192,0.000358714,0.0002428752,0.0005754679,0.01386998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01301354,"threshold_uncertainty_score":0.04353464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06144103203544329,"score_gpt":0.2028780090917392,"score_spread":0.1414369770562959,"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."}}