{"id":"W4388876471","doi":"10.1088/2632-2153/ad611e","title":"Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network","year":2024,"lang":"en","type":"article","venue":"Machine Learning Science and Technology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Vetenskapsrådet; Horizon 2020 Framework Programme; Narodowa Agencja Wymiany Akademickiej; Banco Bilbao Vizcaya Argentaria; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Knut och Alice Wallenbergs Stiftelse; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; Istituto Nazionale di Fisica Nucleare; Austrian Science Fund; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Royal Society; National Science Foundation; Norges Forskningsråd; Fundación BBVA; Compute Canada; Baden-Württemberg Stiftung; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Calibration; Artificial neural network; Atlas (anatomy); Detector; Artificial intelligence; Algorithm; Computer science; Energy (signal processing); RADIUS; Physics; Optics; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001023926,0.00007580218,0.00009376802,0.00003898205,0.0003608073,0.00005131783,0.00008047571,0.00001577178,0.000005992461],"category_scores_gemma":[0.00001047205,0.0000445624,0.000009784826,0.0005181583,0.0008077542,0.0000738141,0.0001059392,0.0001115904,2.513822e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006641795,"about_ca_system_score_gemma":0.00001222153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287044,"about_ca_topic_score_gemma":0.000005645952,"domain_scores_codex":[0.9994454,0.0000172816,0.00006573647,0.0001736071,0.0000931024,0.0002048959],"domain_scores_gemma":[0.9997886,0.00007516613,0.00002635593,0.00006035247,0.00002438755,0.0000251462],"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":[0.0000366664,0.00004227841,0.07904588,0.00001750842,0.00007596447,0.00001322651,0.00081406,0.01696673,0.2895095,0.5296085,0.000007040107,0.08386256],"study_design_scores_gemma":[0.00008803871,0.0001238522,0.00002538627,0.00001049982,0.00001418279,0.000005080401,0.0002892804,0.9495409,0.03781002,0.01174679,0.0002841352,0.00006182119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822782,0.001261468,0.01561193,0.00064485,0.00002310865,0.00003752303,0.000001385525,0.00004030534,0.0001011742],"genre_scores_gemma":[0.9996983,0.000003994449,0.0002292027,0.00001226672,0.0000354686,0.000005089988,6.489263e-7,0.000005250833,0.000009782202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9325742,"threshold_uncertainty_score":0.2976204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004544262645643714,"score_gpt":0.2359339751963321,"score_spread":0.2313897125506883,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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