{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006745253,0.0004454627,0.0002546699,0.0007686774,0.0003236743,0.00067787,0.0004097381,0.000297506,0.0007214122],"category_scores_gemma":[0.0009743093,0.0002409053,0.0005646037,0.0005907738,0.0002833358,0.0003107121,0.000471204,0.0001921089,0.0002932397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127213,"about_ca_system_score_gemma":0.0005072426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658052,"about_ca_topic_score_gemma":0.003660403,"domain_scores_codex":[0.9997081,0.00005155594,0.00001639519,0.00008122501,0.0000655622,0.00007703434],"domain_scores_gemma":[0.9995927,0.0001482576,0.00009957125,0.00005502886,0.00005743035,0.00004690208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00422292,0.0004908387,0.6524457,0.0003132994,0.0009167556,0.003087863,0.0005742302,0.04003147,0.2249435,0.01512625,0.001817316,0.05602983],"study_design_scores_gemma":[0.0002916429,0.001928772,0.3432126,0.00003757558,0.0006663271,0.002637067,0.0006007745,0.3085265,0.3257527,0.009394935,0.006793018,0.0001580831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9949987,0.00006668997,0.003482659,0.00001524581,0.000001909358,0.00001590469,0.0003561961,0.0001509793,0.0009116523],"genre_scores_gemma":[0.9922268,0.00002885425,0.004611733,0.00001066786,0.000001675966,0.000008929018,0.002730677,0.00001848338,0.00036215],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002658052,"threshold_uncertainty_score":0.005285203,"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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