{"id":"W7038340970","doi":"","title":"Hunt for New Phenomena Using Large Jet Multiplicities And Missing Transverse Momentum With ATLAS in 4.7 Fb^{-1}$ of $\\sqrt{s}=7$ TeV Proton-Proton Collisions","year":2019,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; H. Lundbeck A/S; State Atomic Energy Corporation ROSATOM; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Lundbeckfonden; Leverhulme Trust; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Joint Institute for Nuclear Research; National Science Council; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Bundesministerium für Wissenschaft und Forschung; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstwo Edukacji i Nauki; CERN; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Deutsche Forschungsgemeinschaft; Ministerio de Ciencia e Innovación; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; TRIUMF; Alexander von Humboldt-Stiftung; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; National Science Foundation; Türkiye Atom Enerjisi Kurumu","keywords":"Gluino; Neutralino; Large Hadron Collider; Atlas (anatomy); Hadron; Context (archaeology); Scalar (mathematics); Collision","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":[0.0006129716,0.0001890547,0.000411312,0.0005080338,0.0002335809,0.00006686663,0.000157198,0.0001572051,0.0001903604],"category_scores_gemma":[0.0001295611,0.000158461,0.00005264784,0.0005867462,0.0006911877,0.000368432,0.00005155793,0.00007394775,5.059162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006179028,"about_ca_system_score_gemma":0.0004033025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847565,"about_ca_topic_score_gemma":0.002087092,"domain_scores_codex":[0.9984816,0.00003459233,0.0005909562,0.0002150887,0.0004346365,0.0002430818],"domain_scores_gemma":[0.9986992,0.0001335444,0.0006429922,0.000193871,0.0002505466,0.00007987721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00181904,0.003995922,0.05431436,0.01337518,0.001112424,0.000002865253,0.0176298,0.0004413229,0.00481374,0.775154,0.111757,0.01558438],"study_design_scores_gemma":[0.002149062,0.0002437883,0.00227903,0.001185315,0.00009739508,0.000001213263,0.004066024,0.00005730772,0.002969658,0.0002020912,0.9863483,0.0004008468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2323204,0.001796134,0.01901609,0.00146826,0.001060608,0.01257781,0.001800404,0.0002215393,0.7297387],"genre_scores_gemma":[0.9497177,0.000490781,0.01655425,0.00007013489,0.0001382441,0.0004485772,0.00144154,0.00008384465,0.03105492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8745913,"threshold_uncertainty_score":0.6461854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306763460277511,"score_gpt":0.2959996469957491,"score_spread":0.272932012392974,"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."}}