{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002107857,0.001101334,0.001574673,0.001966865,0.001982937,0.004024469,0.002128719,0.001617036,0.03029377],"category_scores_gemma":[0.01248617,0.0007962909,0.001125856,0.002452081,0.001177156,0.008318209,0.002669511,0.00159768,0.01048329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682809,"about_ca_system_score_gemma":0.003103259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874989,"about_ca_topic_score_gemma":0.004584606,"domain_scores_codex":[0.9967862,0.0003964319,0.0003486462,0.0006618951,0.0013404,0.0004664901],"domain_scores_gemma":[0.992452,0.002274169,0.0005474754,0.002593878,0.001887046,0.0002454784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001607089,0.0002505919,0.003285896,0.0006516608,0.0001292319,0.0003465273,0.0004001684,0.01583508,0.02244734,0.3051123,0.06679122,0.5831429],"study_design_scores_gemma":[0.0003216401,0.0005493909,0.001446698,0.0003432556,0.0002393368,0.001596878,0.0004096496,0.2315807,0.08463404,0.2921669,0.3865237,0.0001878817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02922039,0.001923474,0.8982734,0.001487809,0.0007028711,0.0009390106,0.003691741,0.0126727,0.05108849],"genre_scores_gemma":[0.3274985,0.002595805,0.5888689,0.001880688,0.0006149513,0.001152399,0.005328514,0.001540268,0.07051992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03029377,"threshold_uncertainty_score":0.1013427,"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."}}