{"id":"W4319993508","doi":"10.17182/hepdata.84597","title":"Search for low-mass dijet resonances using trigger-level jets with the ATLAS detector in $pp$ collisions at sqrt(s)=13 TeV","year":2018,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","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; 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; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; U.S. Department of Energy; Israeli Centers for Research Excellence; 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; 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":"Atlas detector; Atlas (anatomy); Physics; Detector; Nuclear physics; Particle physics; Large Hadron Collider; Medicine; Optics","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":[0.0007438755,0.0004922063,0.0006353917,0.001185818,0.000412304,0.001883785,0.000723747,0.0005835079,0.004124552],"category_scores_gemma":[0.0008380577,0.000412201,0.0005968394,0.001542589,0.0002032389,0.000637088,0.0009610435,0.0002260832,0.001167343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878757,"about_ca_system_score_gemma":0.0005009498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126057,"about_ca_topic_score_gemma":0.00174059,"domain_scores_codex":[0.9996112,0.00005833282,0.00002418237,0.0001096174,0.00009791901,0.00009870263],"domain_scores_gemma":[0.9997422,0.00009567357,0.00005106095,0.00003378323,0.00003214041,0.00004515508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01035958,0.0004326575,0.2384931,0.0006957666,0.0006285482,0.00556201,0.0006533802,0.03869825,0.5314538,0.03671452,0.007313928,0.1289945],"study_design_scores_gemma":[0.0006998175,0.001683066,0.1284996,0.00005392791,0.0006732371,0.005386372,0.00041556,0.254051,0.5801009,0.01114638,0.01696566,0.0003245534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9006019,0.0004319241,0.07555114,0.0001004477,0.00002591957,0.000053861,0.003267009,0.002523865,0.01744402],"genre_scores_gemma":[0.9727172,0.00009535081,0.02243823,0.00006809699,0.00001271725,0.0000430565,0.002238732,0.0001164987,0.002270043],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004124552,"threshold_uncertainty_score":0.013798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334235363572428,"score_gpt":0.2729969321877956,"score_spread":0.2496545785520713,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}