{"id":"W4319166622","doi":"10.17182/hepdata.83419","title":"Search for chargino-neutralino production using recursive jigsaw reconstruction in final states with two or three charged leptons in proton-proton collisions at $\\sqrt{s}$=13 TeV with the ATLAS detector","year":2018,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":2,"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":"Chargino; Jigsaw; Neutralino; Lepton; Proton; Production (economics); Computer science; Physics; Particle physics; Mathematics; Supersymmetry; Nuclear physics; Mathematics education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006074196,0.0002845688,0.0003806248,0.0003657234,0.0003768716,0.00009591011,0.0002557331,0.00009893703,0.00009000517],"category_scores_gemma":[0.00001823087,0.0001816299,0.00005392769,0.0007929921,0.000662485,0.0007229259,0.0001014759,0.0002193863,0.000004142728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194583,"about_ca_system_score_gemma":0.0003864553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147295,"about_ca_topic_score_gemma":0.001445429,"domain_scores_codex":[0.9981354,0.00004279362,0.0006546425,0.0003621069,0.0004279057,0.0003771875],"domain_scores_gemma":[0.9985205,0.0001152578,0.000567947,0.0003575902,0.0003626863,0.00007605154],"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":[0.05963258,0.005514657,0.5067115,0.008025867,0.001812695,0.00001550166,0.0007926428,0.02740114,0.02062588,0.00284036,0.3486165,0.01801066],"study_design_scores_gemma":[0.00974854,0.003547858,0.03629266,0.003483639,0.0003630327,0.00008799195,0.0002050187,0.001940607,0.6678195,0.0002314526,0.274348,0.001931761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986601,0.00001145002,0.0002534002,0.00006969339,0.0001514239,0.002540391,0.09824698,0.00001282013,0.0000537456],"genre_scores_gemma":[0.6979961,0.00002532528,0.001317829,0.000006028554,0.00008003403,0.001442012,0.2990767,0.00001476875,0.00004111281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6471936,"threshold_uncertainty_score":0.7406654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274445710143295,"score_gpt":0.2690623640064945,"score_spread":0.241617792992165,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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