{"id":"W2068327846","doi":"10.1103/physrevd.91.052007","title":"Search for new phenomena in the dijet mass distribution usingppcollision data ats=8 TeVwith the ATLAS detector","year":2015,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Instituto Nazionale di Fisica Nucleare; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Australian Research Council; National Research Council Canada; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; State Atomic Energy Corporation ROSATOM; Bundesministerium für Wissenschaft und Forschung; Georgian National Science Foundation; European Research Council; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Canada Foundation for Innovation; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Narodowe Centrum Nauki; Knut och Alice Wallenbergs Stiftelse; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Lundbeckfonden; Ministry of Education and Science of the Russian Federation; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Austrian Science Fund; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstvo Průmyslu a Obchodu; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Chinese Academy of Sciences; National Science Council; Vetenskapsrådet; Israeli Centers for Research Excellence; U.S. Department of Energy; National Natural Science Foundation of China; Leverhulme Trust; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Department of Science and Technology, Republic of South Africa; National Science Foundation; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Centre National pour la Recherche Scientifique et Technique; Royal Society; Ministerstvo Školství, Mládeže a Tělovýchovy; H. Lundbeck A/S; Department of Science and Technology, Ministry of Science and Technology, India; Stichting voor Fundamenteel Onderzoek der Materie; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); CERN; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Danmarks Grundforskningsfond; Israel Science Foundation; Helmholtz-Gemeinschaft; General Secretariat for Research and Technology","keywords":"Distribution (mathematics); Computer science; Physics; Computer graphics (images); Mathematics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006464315,0.0003095779,0.0004309581,0.002792323,0.0006206462,0.001181492,0.0007525567,0.0004718335,0.01327569],"category_scores_gemma":[0.0007422529,0.0003003935,0.0005715251,0.003533331,0.0002722808,0.0006683542,0.000512005,0.0006213292,0.001376611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451264,"about_ca_system_score_gemma":0.0003101181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548314,"about_ca_topic_score_gemma":0.003653974,"domain_scores_codex":[0.9997709,0.00003105616,0.0000104646,0.00006260464,0.00007423772,0.00005070033],"domain_scores_gemma":[0.9991714,0.0004008587,0.0001468502,0.00008356146,0.00008189274,0.0001154395],"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":[0.00520668,0.001284313,0.4568589,0.001131027,0.0007679721,0.01116201,0.001559237,0.02247442,0.2067393,0.09143847,0.03989949,0.1614782],"study_design_scores_gemma":[0.000442864,0.0004983814,0.5895305,0.00006772504,0.000226425,0.005135067,0.0009011845,0.202834,0.1383086,0.01273731,0.04916439,0.0001535265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091995,0.0007717353,0.03301533,0.0004690208,0.00005041771,0.00009416563,0.007518552,0.002447729,0.04643371],"genre_scores_gemma":[0.9720199,0.000257864,0.009468358,0.00006632759,0.00003022051,0.00003636057,0.008876777,0.0003355248,0.008908745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327569,"threshold_uncertainty_score":0.0444116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874804780105951,"score_gpt":0.2963369751361618,"score_spread":0.2675889273351023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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