{"id":"W6927206257","doi":"10.3204/pubdb-2018-00427","title":"Performance of algorithms that reconstruct missing transverse momentum in $\\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector","year":2017,"lang":"en","type":"article","venue":"DESY (CERN, DESY, Fermilab, IHEP, and SLAC)","topic":"Algal biology and biofuel production","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Physics; High Energy Physics; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Deutsches Elektronen-Synchrotron; Universidade Federal de São João del-Rei; Shanghai Key Laboratory for Particle Physics and Cosmology; Technische Universität Dortmund; Nanjing University; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Universidade Federal de Juiz de Fora; Harvard University; Università della Calabria; University of Science and Technology of China; Centre National pour la Recherche Scientifique et Technique; Universidad de Buenos Aires; Georgian National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Brookhaven National Laboratory; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; Universitatea Transilvania din Brasov; Israel Science Foundation; Joint Institute for Nuclear Research; Universidade Federal do Rio de Janeiro; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Shanghai Jiao Tong University; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Israeli Centers for Research Excellence; Shandong University; General Secretariat for Research and Technology; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Tsinghua University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Chinese Academy of Sciences; Austrian Science Fund; Technische Universität Dresden; National Natural Science Foundation of China; Scottish Universities Physics Alliance; Clermont Université; Javna Agencija za Raziskovalno Dejavnost RS; Universidad Técnica Federico Santa María; University of Glasgow; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Danmarks Grundforskningsfond; Universität Heidelberg; Southern Methodist University; Institut National de Physique Nucléaire et de Physique des Particules; Université de Genève; Department of Science and Technology, Ministry of Science and Technology, India; Justus Liebig Universität Gießen; CERN; Pontificia Universidad Católica de Chile; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Institute of High Energy Physics; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Lepton; Large Hadron Collider; Detector; Muon; Atlas (anatomy); ATLAS experiment; Luminosity; Transverse plane; Vertex (graph theory); Gradient boosting","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":[0.003151479,0.00105995,0.0006579637,0.0009079255,0.0005866538,0.001956064,0.001337741,0.001385584,0.003212984],"category_scores_gemma":[0.006829321,0.0003957036,0.0006506153,0.001048083,0.0004842408,0.001123797,0.0007421556,0.0006358984,0.001005524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127937,"about_ca_system_score_gemma":0.002683345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224502,"about_ca_topic_score_gemma":0.00856684,"domain_scores_codex":[0.9983785,0.0003384811,0.0001701885,0.0003730205,0.00049121,0.0002485936],"domain_scores_gemma":[0.9946768,0.003680922,0.0003536026,0.0003280088,0.0007892796,0.0001714466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00525124,0.0004999671,0.03579739,0.0001936826,0.0004469532,0.0001770674,0.0001682304,0.777738,0.01836407,0.005945653,0.003630408,0.1517874],"study_design_scores_gemma":[0.000068395,0.0001540397,0.004189075,0.00001120677,0.00003329605,0.00007722936,0.00005078649,0.9772843,0.01711176,0.0004292503,0.0005631006,0.00002742358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733604,0.0007207242,0.1109829,0.0002898983,0.0001232004,0.0001031001,0.0008158297,0.006068277,0.007535754],"genre_scores_gemma":[0.8804165,0.0002074959,0.1121941,0.0001736316,0.00002204299,0.00009569213,0.002999782,0.0005171539,0.003373647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224502,"threshold_uncertainty_score":0.02434748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650578359869662,"score_gpt":0.2611976442064891,"score_spread":0.2246918606077925,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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