{"id":"W4415908731","doi":"10.1051/0004-6361/202555217","title":"A deployed real-time end-to-end deep learning algorithm for fast radio burst detection","year":2025,"lang":"","type":"article","venue":"Astronomy and Astrophysics","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Naval Observatory; Breakthrough Prize Foundation; Nvidia; National Science Foundation","keywords":"Pipeline (software); Fast radio burst; Pipeline transport; Interference (communication); Throughput; Telescope; Deep learning; Radio telescope","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003298271,0.0009912013,0.000341461,0.0002694257,0.0002478451,0.0004847003,0.001661728,0.0007648866,0.00356303],"category_scores_gemma":[0.001392578,0.0003248828,0.000388432,0.00025903,0.0003417056,0.0009174672,0.000747334,0.00144576,0.00200376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000855429,"about_ca_system_score_gemma":0.001436841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024574,"about_ca_topic_score_gemma":0.01715192,"domain_scores_codex":[0.9997643,0.00002174557,0.000009565136,0.00008929409,0.00007486573,0.00004032061],"domain_scores_gemma":[0.9997619,0.00005780562,0.00002152773,0.0000436841,0.00009026875,0.0000248178],"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":[0.0006731077,0.0005054494,0.004439212,0.0001949635,0.0001794113,0.0003388506,0.0001450393,0.4267697,0.05614612,0.005145762,0.0351201,0.4703424],"study_design_scores_gemma":[0.00001646291,0.00006015207,0.0003114795,0.000005049832,0.000007819342,0.00002861028,0.000009278137,0.9881979,0.008209387,0.0008632783,0.002283779,0.000006822349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1014668,0.0006880012,0.8567849,0.0006376314,0.000308041,0.0002082421,0.001193206,0.03263479,0.006078461],"genre_scores_gemma":[0.5245718,0.0002234166,0.4561852,0.0007103675,0.00005750096,0.0002341543,0.004629453,0.0008057136,0.01258236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01024574,"threshold_uncertainty_score":0.02037221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005761247136871541,"score_gpt":0.2691759243619106,"score_spread":0.2634146772250391,"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."}}