{"id":"W3108845853","doi":"10.1140/epjc/s10052-021-09233-2","title":"Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\\sqrt{s}=13$$ TeV","year":2021,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; TRIUMF; Carleton University; Simon Fraser University; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Austrian Science Fund; U.S. Department of Energy; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung; Institut de Valorisation des Données; 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; Agencia Nacional de Investigación y Desarrollo; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Ministerio de Ciencia e Innovación","keywords":"Large Hadron Collider; Muon; Physics; Atlas (anatomy); ATLAS experiment; Nuclear physics; Particle physics; Collision; Luminosity; Vertex (graph theory); Computer science; Astrophysics; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005122069,0.0001250037,0.0001438693,0.00001068243,0.0006551953,0.0001642195,0.0002891159,0.000007417648,0.00001042546],"category_scores_gemma":[0.00001822788,0.00007212973,0.00005803446,0.0002032281,0.0002689611,0.0002060792,0.0006139177,0.0002619379,0.00004843369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003552406,"about_ca_system_score_gemma":0.00001521722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002252248,"about_ca_topic_score_gemma":0.000001192283,"domain_scores_codex":[0.9986004,0.0005242031,0.0002440343,0.0002334946,0.0001885223,0.0002093239],"domain_scores_gemma":[0.9993162,0.0001279098,0.000127979,0.00031559,0.00004847978,0.00006380266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007660896,0.0003024655,0.002083012,0.000005665148,0.00007365817,0.00001361467,0.002106999,0.0007702474,0.9553931,0.005083881,0.0006962342,0.03339448],"study_design_scores_gemma":[0.002449789,0.00019609,0.00992537,0.0003050057,0.0003358538,0.0003892763,0.01191513,0.05430064,0.7019203,0.2162692,0.001122824,0.0008705007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993884,0.0002099961,0.0005511427,0.0003952913,0.0001506197,0.00007750899,0.00002360282,0.000007350975,0.004700536],"genre_scores_gemma":[0.9990406,0.00002882683,0.00003636344,0.00000725463,0.0008256357,0.000001171969,0.00001460509,0.00001415404,0.00003137944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2534728,"threshold_uncertainty_score":0.5039299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364862966552388,"score_gpt":0.2958591666999962,"score_spread":0.2593728700447574,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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