{"id":"W4319791316","doi":"10.17182/hepdata.86552","title":"Search for long-lived neutral particles in $pp$ collisions at $\\sqrt{s}$ = 13 TeV that decay into displaced hadronic jets in the ATLAS calorimeter","year":2019,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Social Fund; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; 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; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; 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; Austrian Science Fund; U.S. Department of Energy; 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; Generalitat de Catalunya; 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); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Mathematics","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":[0.0005992616,0.0008307319,0.000567293,0.001721571,0.0005641406,0.0009320519,0.001172859,0.0007906552,0.006035004],"category_scores_gemma":[0.001496669,0.0002835912,0.0006338052,0.002922064,0.0002254557,0.0005936035,0.001111925,0.0006079152,0.006830107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007940563,"about_ca_system_score_gemma":0.0009752422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885253,"about_ca_topic_score_gemma":0.03305503,"domain_scores_codex":[0.9996005,0.0000500907,0.00004110179,0.0001210036,0.00009878575,0.00008856153],"domain_scores_gemma":[0.9994875,0.0001084557,0.0001229312,0.0001168768,0.0001003972,0.00006368536],"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":[0.002015748,0.0002317183,0.1888671,0.002228635,0.0005456944,0.0007361003,0.000184903,0.004145837,0.004738647,0.005426788,0.769445,0.02143374],"study_design_scores_gemma":[0.0006575215,0.0001415024,0.2639272,0.0003102879,0.0003033933,0.0007950118,0.0005424574,0.006602335,0.007479372,0.003525029,0.7156066,0.0001091537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02454521,0.0003443153,0.0003569202,0.0001617622,0.0000384744,0.00002875554,0.9709433,0.0003885297,0.003192619],"genre_scores_gemma":[0.01652274,0.0001454679,0.0007224373,0.00007706953,0.00001099112,0.00004473372,0.9815367,0.00004366488,0.0008962353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01885253,"threshold_uncertainty_score":0.0374856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309490586582039,"score_gpt":0.2812402166847884,"score_spread":0.258145310818968,"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."}}