{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120029,0.0004398985,0.0003451219,0.001293604,0.0004771991,0.001169377,0.0006664431,0.0005582413,0.004350946],"category_scores_gemma":[0.0009782359,0.0004253332,0.0005725597,0.002063718,0.0003199061,0.0005190401,0.0005831083,0.0004471651,0.002073593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884276,"about_ca_system_score_gemma":0.000244566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247451,"about_ca_topic_score_gemma":0.003813126,"domain_scores_codex":[0.9990972,0.0001371117,0.00005668327,0.0002469494,0.0002822024,0.0001799296],"domain_scores_gemma":[0.9992416,0.0002434846,0.0001602654,0.0001522553,0.0001329074,0.00006954135],"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":[0.004909885,0.0004495707,0.1838142,0.0002848172,0.0007178086,0.0003960261,0.0003331228,0.009077646,0.7422464,0.006647539,0.009902447,0.04122055],"study_design_scores_gemma":[0.0001388774,0.0007227105,0.2770558,0.00003109438,0.0002360749,0.0007422874,0.0001307565,0.02046996,0.6862298,0.001103534,0.01301592,0.0001231058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435477,0.0006662589,0.027476,0.0001151756,0.00004528443,0.00005471406,0.008706326,0.001029865,0.01835857],"genre_scores_gemma":[0.966887,0.0004243782,0.0139326,0.0001427408,0.00002257186,0.00007602474,0.01136523,0.0002949942,0.00685447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004350946,"threshold_uncertainty_score":0.01455539,"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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