{"id":"W4394654232","doi":"10.48550/arxiv.2404.04703","title":"Aleph Filter: To Infinity in Constant Time","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infinity; Constant (computer programming); Aleph; Filter (signal processing); Mathematics; Time constant; Physics; Mathematical analysis; Computer science; Engineering; Electrical engineering; Particle physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006117175,0.002241794,0.002700973,0.00295664,0.002288268,0.006403051,0.004410576,0.002660644,0.01949757],"category_scores_gemma":[0.03449663,0.001203732,0.002244973,0.003572789,0.003079514,0.01508453,0.007486361,0.003842905,0.01166584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002732817,"about_ca_system_score_gemma":0.004543197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252176,"about_ca_topic_score_gemma":0.004770108,"domain_scores_codex":[0.992604,0.001128197,0.0005461253,0.001674929,0.003220519,0.0008263336],"domain_scores_gemma":[0.9823952,0.007205268,0.0006874357,0.006900408,0.002375702,0.0004359108],"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":[0.001922278,0.0002530479,0.002932369,0.0006615836,0.0001408954,0.0003352001,0.0007434937,0.02614016,0.01203497,0.2399157,0.08566945,0.6292509],"study_design_scores_gemma":[0.0002903611,0.0002356305,0.0004617787,0.0001920414,0.0001182458,0.00068211,0.0002497995,0.3605297,0.02154324,0.5339394,0.0816344,0.0001232347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009076217,0.0009597953,0.9528664,0.001327982,0.0003558481,0.0001719052,0.0009897791,0.02303205,0.01121995],"genre_scores_gemma":[0.1167577,0.0007735835,0.8534855,0.002033083,0.0006506583,0.0006553563,0.002092931,0.00475405,0.01879713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01949757,"threshold_uncertainty_score":0.0652259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0546729987628575,"score_gpt":0.19162486162958,"score_spread":0.1369518628667225,"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."}}