{"id":"W2144437286","doi":"10.1007/jhep12(2015)105","title":"Measurement of four-jet differential cross sections in s = 8 $$ \\sqrt{s}=8 $$ TeV proton-proton collisions using the ATLAS detector","year":2015,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; York University; TRIUMF; Carleton University; University of Victoria; McGill University; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Toronto","funders":"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; Department of Science and Technology, Ministry of Science and Technology, India; H. Lundbeck A/S; Fondation Partager le Savoir; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; 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; 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; General Secretariat for Research and Technology; National Science Foundation; Lundbeckfonden; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Physics; Rapidity; Atlas detector; Atlas (anatomy); Large Hadron Collider; Nuclear physics; Particle physics; Jet (fluid); Proton; Hadron; Invariant mass; Detector","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":[0.0007012007,0.0006114935,0.0004186603,0.001436115,0.0003534846,0.0009135978,0.000664271,0.0003686597,0.002546943],"category_scores_gemma":[0.0007150665,0.0004432886,0.0006160068,0.001324737,0.000260206,0.0003323329,0.0007626939,0.0003683667,0.0004183037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785089,"about_ca_system_score_gemma":0.0002341494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336393,"about_ca_topic_score_gemma":0.002184276,"domain_scores_codex":[0.9996611,0.00005754031,0.00001964511,0.0001147342,0.00007806542,0.00006886804],"domain_scores_gemma":[0.999442,0.0002321269,0.0001373669,0.00007079713,0.00005347107,0.0000640996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004108304,0.0003019242,0.4808175,0.0003721915,0.001139742,0.002273915,0.0003518995,0.04228808,0.4442152,0.006563358,0.001733221,0.01583469],"study_design_scores_gemma":[0.0001743876,0.0005429115,0.6136224,0.00002162031,0.0003666247,0.001875271,0.0001545211,0.04450591,0.3311443,0.002321799,0.005132305,0.0001379522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928509,0.0001765186,0.002819641,0.00002127687,0.000006517949,0.000008023097,0.001966684,0.0001794242,0.00197095],"genre_scores_gemma":[0.9943255,0.00008409422,0.001771121,0.00002082085,0.000003769786,0.0000163873,0.003003284,0.00003167307,0.0007432745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002546943,"threshold_uncertainty_score":0.008520365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474485068368792,"score_gpt":0.2929604392183903,"score_spread":0.2455119323815111,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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