{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122121,0.001087739,0.0006359057,0.001184067,0.0003863532,0.001129271,0.001477947,0.001063917,0.00176201],"category_scores_gemma":[0.003466282,0.0004945186,0.0005109909,0.001359987,0.0004503379,0.00135516,0.001788257,0.00129984,0.0007058457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104308,"about_ca_system_score_gemma":0.0006087538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310793,"about_ca_topic_score_gemma":0.003345279,"domain_scores_codex":[0.9992982,0.0001751615,0.00002888416,0.0001939924,0.0002411945,0.00006258154],"domain_scores_gemma":[0.9990889,0.0002857175,0.0001943241,0.0001400902,0.0002223369,0.00006854172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001951972,0.0002689632,0.03904922,0.0003094101,0.0004969533,0.0006379553,0.0001453769,0.5220147,0.1032167,0.007612135,0.00818941,0.3161072],"study_design_scores_gemma":[0.00002745891,0.00003869653,0.005071212,0.00001791066,0.00002207113,0.00006735473,0.00001749234,0.9713625,0.01887426,0.003027901,0.001438802,0.00003427924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.269173,0.001001147,0.7119862,0.0006944855,0.0002927332,0.00009113556,0.001225438,0.006551221,0.008984576],"genre_scores_gemma":[0.8901083,0.000149685,0.1059417,0.0002941005,0.00004254501,0.00005099357,0.001250097,0.0003676016,0.001794952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002310793,"threshold_uncertainty_score":0.01122296,"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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