{"id":"W2800357991","doi":"10.1007/jhep08(2018)089","title":"Measurements of b-jet tagging efficiency with the ATLAS detector using $$ t\\overline{t} $$ events at $$ \\sqrt{s}=13 $$ TeV","year":2018,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":122,"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; McGill University; University of Victoria; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; 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; Fondation Partager le Savoir; 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\"; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Israel Science Foundation; Comisión Nacional de Investigación Científica y Tecnológica; 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; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Israeli Centers for Research Excellence; U.S. Department of Energy; Ontario Innovation Trust; 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; 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; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Physics; Hadron; Particle physics; Algorithm; Computer science","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":[0.0001507232,0.0002144451,0.0003615141,0.00002451963,0.0002930942,0.00001869655,0.0002778713,0.00001949532,0.00004456819],"category_scores_gemma":[0.000004189637,0.000123067,0.0001799361,0.0002504883,0.0003407478,0.0001652548,0.0001447024,0.0001115348,0.000006189401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007132269,"about_ca_system_score_gemma":0.00004644116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002192051,"about_ca_topic_score_gemma":0.000004404436,"domain_scores_codex":[0.9985734,0.00007126727,0.0003619057,0.0001483905,0.0005448487,0.0003002058],"domain_scores_gemma":[0.9988699,0.00006324655,0.000472174,0.00019657,0.000307597,0.000090494],"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":[0.001281141,0.002154628,0.07863571,0.00003374894,0.002290357,0.000005861665,0.001917704,0.009933689,0.7199008,0.1743725,0.0005271382,0.008946688],"study_design_scores_gemma":[0.0008561825,0.0003950571,0.0002918202,0.00007483863,0.0001328764,0.000002775855,0.0001388557,0.0005237672,0.977738,0.01956176,0.0001180604,0.0001660056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96263,0.00008173386,0.03609056,0.00008139727,0.0001830229,0.00004461102,0.000007076273,0.000005273174,0.000876326],"genre_scores_gemma":[0.9982236,0.000002083534,0.0007483815,0.00002203398,0.0009532542,0.000002834947,0.000001391461,0.00002278437,0.00002366105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2578372,"threshold_uncertainty_score":0.5018527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039025952391893,"score_gpt":0.2527771437588277,"score_spread":0.2323868842349088,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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