{"id":"W6908628407","doi":"10.3204/pubdb-2018-00335","title":"Measurement of forward-backward multiplicity correlations in lead-lead, proton-lead, and proton-proton collisions with the ATLAS detector","year":2017,"lang":"en","type":"article","venue":"DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"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; Royal Society; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; 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; Generalitat de Catalunya; Generalitat Valenciana; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Israeli Centers for Research Excellence; U.S. Department of Energy; 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); CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Pseudorapidity; Multiplicity (mathematics); Collision; Hadron; Large Hadron Collider; Rapidity; Scaling; Atlas (anatomy); Impact parameter","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":[0.001428536,0.0005646562,0.0004718834,0.001503228,0.0008164478,0.001161608,0.0008178206,0.0004633328,0.001165858],"category_scores_gemma":[0.00240178,0.0006703815,0.0004680175,0.001494761,0.0005449693,0.0006054164,0.001407181,0.0006998602,0.000327564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009319307,"about_ca_system_score_gemma":0.0009458159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002176269,"about_ca_topic_score_gemma":0.002938461,"domain_scores_codex":[0.9988524,0.0002414093,0.00006429767,0.0002430316,0.0004206347,0.0001781537],"domain_scores_gemma":[0.998655,0.0004801694,0.0003160887,0.000148504,0.0001917581,0.0002084474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007453204,0.0004642878,0.5467597,0.0001417294,0.0006019845,0.001837952,0.0007517654,0.0292099,0.3776547,0.01560849,0.001399482,0.01811686],"study_design_scores_gemma":[0.0001781681,0.001485144,0.5681382,0.0000160854,0.0002083231,0.001868988,0.00023029,0.06020233,0.3625426,0.002416204,0.002413831,0.0002998951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888234,0.00016858,0.007703185,0.00003296016,0.00001095135,0.00001635753,0.000629781,0.0001614909,0.002453242],"genre_scores_gemma":[0.9954425,0.00006427696,0.002582242,0.00001506771,0.000007068466,0.00002121429,0.00106521,0.0000394697,0.0007629363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002176269,"threshold_uncertainty_score":0.007554889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902849139658136,"score_gpt":0.2533814511165164,"score_spread":0.224352959719935,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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