{"id":"W4393905142","doi":"10.48550/arxiv.2404.01235","title":"Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Planetary Science Division; Deutsches Elektronen-Synchrotron; Institut National de Physique Nucléaire et de Physique des Particules; Science and Technology Facilities Council; Science Mission Directorate; Pacific Northwest National Laboratory; Smithsonian Astrophysical Observatory; University of Illinois at Urbana-Champaign; Max-Planck-Institut für Astronomie; Eötvös Loránd Tudományegyetem; Stockholms Universitet; Nuclear Safety and Security Commission; Queen's University; Gordon and Betty Moore Foundation; Queen's University Belfast; Los Alamos National Laboratory; University of Washington; Brinson Foundation; Alfred P. Sloan Foundation; Johns Hopkins University; Weizmann Institute of Science; University of Warwick; National Central University; Villum Fonden; Durham University; Northwestern University; Space Telescope Science Institute; National Aeronautics and Space Administration; Battelle; Trinity College Dublin; U.S. Department of Energy; Smithsonian Institution; European Commission; Directorate for Computer and Information Science and Engineering; California Institute of Technology; University of California, Santa Cruz; Heising-Simons Foundation; David and Lucile Packard Foundation; National Centre for Supercomputing Applications; Laboratory Directed Research and Development; National Science Foundation","keywords":"Anomaly detection; STREAMS; Similarity (geometry); Anomaly (physics); Data mining; Computer science; Data stream mining; Real-time computing; Artificial intelligence; Physics; Image (mathematics); Operating system","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":[0.001990941,0.001517938,0.001344898,0.005128554,0.0005880792,0.003463641,0.001783972,0.001184921,0.01317651],"category_scores_gemma":[0.01012139,0.000523613,0.002039945,0.004307845,0.0003687717,0.0029863,0.003027274,0.001036783,0.01494178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006544808,"about_ca_system_score_gemma":0.001094131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449489,"about_ca_topic_score_gemma":0.004231228,"domain_scores_codex":[0.9983827,0.0002111867,0.0001968128,0.0005483238,0.0005200707,0.0001408823],"domain_scores_gemma":[0.9983601,0.0005010921,0.00021097,0.0004199676,0.0003776826,0.000130182],"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":[0.001916159,0.0002428543,0.04202889,0.003050509,0.001608016,0.0009800253,0.001040624,0.01967879,0.035145,0.01523872,0.2978586,0.5812118],"study_design_scores_gemma":[0.0004976512,0.0003457681,0.06096179,0.0005106129,0.000524617,0.003057131,0.001150898,0.6034452,0.03948404,0.05804344,0.2316045,0.0003744741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05207413,0.00541163,0.6834692,0.0009365678,0.0009793725,0.0005370279,0.06362794,0.18152,0.01144418],"genre_scores_gemma":[0.2172114,0.001789081,0.5792232,0.0005289057,0.0005756026,0.0005749206,0.1788353,0.01238561,0.008875921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317651,"threshold_uncertainty_score":0.04407978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858672735629614,"score_gpt":0.2109489228039144,"score_spread":0.1223621954476183,"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."}}