{"id":"W4385428330","doi":"10.1140/epjc/s10052-023-11699-1","title":"ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset","year":2023,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia; Simon Fraser University; Carleton University; TRIUMF; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University; University of Toronto","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; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Compute Canada; 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; Ministerio de Ciencia e Innovación; European Commission","keywords":"Large Hadron Collider; Atlas (anatomy); Particle physics; Flavour; Physics; Algorithm; Jet (fluid); Collision; Hadron; Nuclear physics; Identification (biology); Computer science; Mechanics","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":[0.002037308,0.001925078,0.0009401271,0.00236299,0.00128949,0.001683367,0.003431554,0.001929373,0.005268558],"category_scores_gemma":[0.004441619,0.000462518,0.001634017,0.002522211,0.000544358,0.0009122208,0.00187958,0.001679155,0.004593565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171454,"about_ca_system_score_gemma":0.001945388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450989,"about_ca_topic_score_gemma":0.03557237,"domain_scores_codex":[0.9990107,0.0001760105,0.00005654959,0.0003737872,0.0002321471,0.0001507903],"domain_scores_gemma":[0.9984804,0.000591989,0.00008098735,0.0003553764,0.0003879626,0.0001033581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003104407,0.001101475,0.03476066,0.0009239689,0.001009665,0.001164198,0.0002128132,0.2534017,0.00769286,0.007095749,0.4475987,0.2419338],"study_design_scores_gemma":[0.0005161087,0.0003496258,0.01729289,0.00005900206,0.0001391161,0.000369878,0.0002022279,0.9195033,0.008544788,0.008672948,0.04425597,0.00009415294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5180175,0.003093076,0.07665963,0.001610658,0.0006915922,0.0006864464,0.3375968,0.04856888,0.01307547],"genre_scores_gemma":[0.2144351,0.0002955568,0.06599254,0.0003493204,0.0001020698,0.0006269942,0.7105851,0.001074203,0.006539149],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02450989,"threshold_uncertainty_score":0.04873449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330598049202788,"score_gpt":0.3101071533951399,"score_spread":0.2768011729031121,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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