{"id":"W2994941531","doi":"10.1145/3376122","title":"Xor Filters","year":2020,"lang":"en","type":"article","venue":"ACM Journal of Experimental Algorithmics","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Bloom filter; Filter (signal processing); Cuckoo; Generalization; Set (abstract data type); Bitwise operation; Filter design","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":[0.0001097535,0.0001056109,0.0001710053,0.00004913264,0.00005858098,0.0001054682,0.001331243,0.00002983848,0.00001500408],"category_scores_gemma":[0.00006230937,0.00009197225,0.0001526724,0.0001428558,0.00002603278,0.0005161344,0.0003477659,0.000191767,0.00002458483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000445351,"about_ca_system_score_gemma":0.00004682983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006325468,"about_ca_topic_score_gemma":5.192859e-8,"domain_scores_codex":[0.9990736,0.00003382918,0.0002929501,0.0001389299,0.0003068253,0.0001538348],"domain_scores_gemma":[0.9992681,0.00004597106,0.0001773852,0.0002367236,0.00007086202,0.0002009301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000168843,0.0005911581,0.0007907943,0.00001420997,0.000332133,0.001185463,0.01014444,0.0003813438,0.8470303,0.005566759,0.04644342,0.08735114],"study_design_scores_gemma":[0.00751607,0.0069658,0.0008916528,0.0001920163,0.00007496966,0.002766005,0.005616664,0.2561733,0.6797935,0.002159375,0.03620158,0.001649062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6050608,0.006509758,0.3651896,0.01878761,0.00312754,0.0001502467,0.00000692861,0.0001434999,0.001023927],"genre_scores_gemma":[0.9405084,0.00004872456,0.05596222,0.003050701,0.0003998559,7.18158e-7,4.785413e-7,0.000008297455,0.00002057633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354476,"threshold_uncertainty_score":0.375052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599654909467832,"score_gpt":0.2578440371868842,"score_spread":0.2218474880922059,"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."}}