{"id":"W3031282293","doi":"10.1103/physrevlett.125.131801","title":"Dijet Resonance Search with Weak Supervision Using s=13 TeV pp Collisions in the ATLAS Detector","year":2020,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":127,"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; University of Victoria; McGill University; University of Toronto","funders":"Irish Rugby Football Union; H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council; Rutherford Appleton Laboratory; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Australian Research Council; National Research Council Canada; Horizon 2020 Framework Programme; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Institut National de Physique Nucléaire et de Physique des Particules; Ministry of Science and Technology, Taiwan; Knut och Alice Wallenbergs Stiftelse; Israel Science Foundation; Brookhaven National Laboratory; European Regional Development Fund; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; Canada Foundation for Innovation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Göran Gustafssons Stiftelse för Naturvetenskaplig och Medicinsk Forskning; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Research Grants Council, University Grants Committee; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Danmarks Grundforskningsfond; Science and Technology Facilities Council; Ministerstvo Průmyslu a Obchodu; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; Generalitat de Catalunya; Generalitat Valenciana; Instituto Nazionale di Fisica Nucleare; United States-Israel Binational Science Foundation; Helmholtz-Gemeinschaft; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Arizona-Nevada Academy of Science; Compute Canada; Réseau de cancérologie Rossy; European Cooperation in Science and Technology; Department of Science and Technology, Republic of South Africa; Austrian Science Fund; Javna Agencija za Raziskovalno Dejavnost RS; National Research Foundation; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; Centres de Recerca de Catalunya; CERN; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Royal Society; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Multiple Sclerosis Scientific Research Foundation; North Dakota Game and Fish Department; Canarie; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Karlsruhe Institute of Technology; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Physics; Particle physics; Large Hadron Collider; Physics beyond the Standard Model; Resonance (particle physics); Hadron; Algorithm; Artificial intelligence; Machine learning; 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":[0.001210716,0.0004855243,0.0006031438,0.0008339373,0.0006451959,0.001397953,0.001432651,0.0006313861,0.004100165],"category_scores_gemma":[0.004248837,0.0003536354,0.0006611856,0.0006288952,0.0004003009,0.001164186,0.00119838,0.001097081,0.001561358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196087,"about_ca_system_score_gemma":0.001368972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654976,"about_ca_topic_score_gemma":0.005754869,"domain_scores_codex":[0.9993314,0.0002133686,0.00004447715,0.0001171179,0.0002351365,0.00005857953],"domain_scores_gemma":[0.9984828,0.0006572941,0.0001163861,0.0003168399,0.0003425141,0.00008414131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001190274,0.0005764836,0.01923576,0.0002677664,0.000237448,0.0006089864,0.0003072348,0.2121541,0.05170253,0.03700942,0.02101309,0.655697],"study_design_scores_gemma":[0.00001793501,0.00002899715,0.0007875928,0.000003179162,0.00001093271,0.00003358469,0.00001065547,0.9839172,0.009243139,0.004596681,0.001341941,0.000008023312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179633,0.0000954815,0.8550701,0.0006263431,0.0000932711,0.000137529,0.0006524155,0.01757196,0.007789638],"genre_scores_gemma":[0.5777481,0.00005540681,0.4110048,0.0001878028,0.0000613404,0.0001545638,0.002428719,0.0007164907,0.007642816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004100165,"threshold_uncertainty_score":0.01371646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319443756565228,"score_gpt":0.2649030292930159,"score_spread":0.2417085917273636,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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