{"id":"W4388035836","doi":"10.1140/epjc/s10052-024-12657-1","title":"Improving topological cluster reconstruction using calorimeter cell timing in ATLAS","year":2024,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University; University of Toronto; Simon Fraser University; Carleton University; TRIUMF; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University","funders":"European Social Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Narodowa Agencja Wymiany Akademickiej; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat Valenciana; Austrian Science Fund; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 Marie Skłodowska-Curie Actions; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Ministerio de Ciencia e Innovación; European Commission; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Max-Planck-Gesellschaft; Royal Society; Danmarks Grundforskningsfond; British Columbia Knowledge Development Fund; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Agencia Nacional de Investigación y Desarrollo; Generalitat de Catalunya; Canarie; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; CERN; Leverhulme Trust","keywords":"Algorithm; Physics; Cluster analysis; Atlas (anatomy); Artificial intelligence; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001273076,0.0008011303,0.000683292,0.001382891,0.0005085337,0.0014776,0.001502515,0.0006275292,0.003897236],"category_scores_gemma":[0.00564965,0.0004014376,0.0005007118,0.001456754,0.0003165389,0.0007535833,0.001479172,0.0005595197,0.001174541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042902,"about_ca_system_score_gemma":0.001361497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006178749,"about_ca_topic_score_gemma":0.0066568,"domain_scores_codex":[0.9992938,0.00019932,0.00003330243,0.0001176093,0.0002475314,0.0001083152],"domain_scores_gemma":[0.9978278,0.0008166571,0.0001591604,0.0003852832,0.0006492044,0.0001618442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002927169,0.0001926529,0.02655006,0.0001721091,0.0001575988,0.0002992462,0.0002930958,0.7425901,0.03653803,0.01732688,0.005903833,0.1670492],"study_design_scores_gemma":[0.00003265676,0.00005559346,0.001252027,0.00000540858,0.00001377869,0.00003375531,0.00005140913,0.9745288,0.0209201,0.001801738,0.001282584,0.00002208028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3491561,0.0001286893,0.635345,0.0001247854,0.00007932009,0.00008985931,0.001274598,0.009545359,0.004256288],"genre_scores_gemma":[0.7665549,0.0000540821,0.2270507,0.00006362287,0.00001587733,0.00007680724,0.003336587,0.000937028,0.001910408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006178749,"threshold_uncertainty_score":0.01303762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559330184678874,"score_gpt":0.2751126580716623,"score_spread":0.2495193562248736,"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."}}