{"id":"W4318425262","doi":"10.17182/hepdata.78697.v2","title":"Search for long-lived, massive particles in events with displaced vertices and missing transverse momentum in $\\sqrt{s}$ = 13 TeV $pp$ collisions with the ATLAS detector","year":2017,"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":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":"Momentum (technical analysis); Physics; Mathematics; Combinatorics; Computer science","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":[0.0006105286,0.001636296,0.001059814,0.002007915,0.0005654513,0.001329383,0.002307089,0.001723623,0.008844432],"category_scores_gemma":[0.002109923,0.0003371482,0.001082196,0.00285259,0.0003722157,0.0006838021,0.001480076,0.001056317,0.01259127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157553,"about_ca_system_score_gemma":0.00135539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017664,"about_ca_topic_score_gemma":0.041478,"domain_scores_codex":[0.9996112,0.00005244872,0.00003707785,0.000124272,0.00009712541,0.00007791834],"domain_scores_gemma":[0.9994279,0.0001543048,0.0001157737,0.000121924,0.0001085147,0.00007153153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009311076,0.0001693903,0.03157037,0.00218407,0.0004260231,0.0004967244,0.00007709077,0.003659164,0.001230529,0.002716142,0.9454535,0.01108582],"study_design_scores_gemma":[0.001380173,0.0001119983,0.0727795,0.0005368167,0.0003275001,0.0008540227,0.0002771599,0.009038076,0.004315869,0.006966778,0.9033024,0.0001097184],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004274019,0.0003195887,0.0002919943,0.0001230379,0.00003198742,0.00002453195,0.9931131,0.0005602866,0.001261397],"genre_scores_gemma":[0.003156544,0.00009864474,0.0004564324,0.00003980833,0.000007624961,0.00004246106,0.995771,0.00003320035,0.0003943136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02017664,"threshold_uncertainty_score":0.0401184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138893121997691,"score_gpt":0.2652923818434872,"score_spread":0.2514030696437181,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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