{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002529503,0.0002915401,0.0003772945,0.0004031706,0.00006086667,0.00007999155,0.0009646416,0.0001668579,0.00005377706],"category_scores_gemma":[0.00004291049,0.0003203809,0.0001207666,0.0007870445,0.00007435435,0.0002778532,0.005227841,0.0005938252,0.001224675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226683,"about_ca_system_score_gemma":0.0002581763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004023941,"about_ca_topic_score_gemma":0.0002608757,"domain_scores_codex":[0.9980886,0.0001047653,0.0002459755,0.001124899,0.00008698479,0.0003487739],"domain_scores_gemma":[0.9982584,0.00009196679,0.0001023487,0.001286521,0.00007422689,0.0001865883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002291825,0.00005266066,0.0005198747,0.0001842623,0.00003511213,0.002466962,0.0005143089,0.04435095,0.0001278396,0.9486417,0.002289071,0.000794318],"study_design_scores_gemma":[0.001200763,0.0002532598,0.0008766655,0.002815288,0.0000866726,0.0000696134,0.0003156849,0.5645836,0.0007872237,0.2393082,0.1866696,0.003033454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558257,0.0001558938,0.8175578,0.0002829791,0.001145563,0.0005978607,0.0003342086,0.0004751436,0.0236249],"genre_scores_gemma":[0.9842573,0.00005713597,0.009209173,0.0002220943,0.00007699893,0.000003249876,0.0000318768,0.00002221464,0.006119922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284316,"threshold_uncertainty_score":0.9999248,"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."}}