{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002014385,0.0006040488,0.0006450068,0.0004515707,0.001287947,0.001299065,0.003437336,0.0001862659,0.00003503322],"category_scores_gemma":[0.0005078634,0.0004472663,0.000130051,0.0008772838,0.0004835443,0.007153761,0.001283727,0.00066738,0.00006387363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948746,"about_ca_system_score_gemma":0.0006676717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195737,"about_ca_topic_score_gemma":0.002000692,"domain_scores_codex":[0.9949353,0.000454623,0.0009680238,0.001395882,0.001396057,0.0008501608],"domain_scores_gemma":[0.9931923,0.0002405023,0.00122746,0.004165737,0.0008725355,0.0003014705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009241033,0.00373026,0.9236455,0.001609776,0.0005207967,0.00002424987,0.003704035,0.0003604594,0.02441622,0.01516759,0.002465239,0.02343176],"study_design_scores_gemma":[0.01071618,0.001846374,0.5753007,0.0008879668,0.0002188804,0.0000611686,0.001229298,0.1777662,0.1427077,0.0003004947,0.08677992,0.002185169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608153,0.0004163872,0.09997508,0.0132807,0.0001573826,0.02392526,0.0003287599,0.000366923,0.000734142],"genre_scores_gemma":[0.9738242,0.0000512627,0.01406864,0.0001994761,0.0001163517,0.01137745,0.0001777753,0.00005818847,0.0001266712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3483448,"threshold_uncertainty_score":0.9997979,"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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