{"id":"W4402043624","doi":"10.14778/3681954.3682027","title":"Aleph Filter: To Infinity in Constant Time","year":2024,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infinity; Constant (computer programming); Aleph; Mathematics; Filter (signal processing); Mathematical analysis; Physics; Computer science; Programming language; Particle physics","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":[0.005165143,0.002129491,0.002534116,0.002698526,0.002157407,0.0059351,0.004413158,0.002510469,0.0188938],"category_scores_gemma":[0.02873147,0.001114545,0.001904018,0.00333674,0.002846075,0.01432169,0.006982729,0.003337197,0.01059755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003094504,"about_ca_system_score_gemma":0.004476666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005511757,"about_ca_topic_score_gemma":0.006422203,"domain_scores_codex":[0.9943897,0.0008672194,0.000404787,0.001185918,0.002417936,0.0007343113],"domain_scores_gemma":[0.9857496,0.00528356,0.000574176,0.006078322,0.00193837,0.0003760042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00189218,0.0002724276,0.00303478,0.0005966167,0.0001220675,0.000326798,0.0007277681,0.02990225,0.01305212,0.2363813,0.08615798,0.6275336],"study_design_scores_gemma":[0.0002733208,0.0002334996,0.0004496086,0.0001810694,0.0001088093,0.0006341659,0.0002475084,0.4535537,0.02227297,0.4373055,0.08461997,0.0001197177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01029869,0.0009503193,0.9454395,0.00118171,0.0003193592,0.0001827349,0.0009181191,0.02712751,0.01358197],"genre_scores_gemma":[0.1204848,0.0007460403,0.8495988,0.001628991,0.0004710515,0.0006185319,0.00198211,0.004728985,0.01974076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0188938,"threshold_uncertainty_score":0.06320608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054755328993164,"score_gpt":0.2108183152649619,"score_spread":0.2002707619750302,"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."}}