{"id":"W7126752092","doi":"","title":"Charged-hadron and identified-hadron (KS0, Λ, Ξ-) yield measurements in photonuclear Pb plus Pb and p plus Pb collisions at √sNN=5.02 TeV with ATLAS","year":2025,"lang":"en","type":"article","venue":"RepositóriUM (Universidade do Minho)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Vetenskapsrådet; Horizon 2020 Framework Programme; Narodowa Agencja Wymiany Akademickiej; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ministerstvo Školství, Mládeže a Tělovýchovy; National Science and Technology Council; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; U.S. Department of Energy; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Knut och Alice Wallenbergs Stiftelse; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; UK Research and Innovation; Istituto Nazionale di Fisica Nucleare; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Rapidity; Hadron; Atlas (anatomy); Monte Carlo method; Multiplicity (mathematics); Large Hadron Collider; Calorimeter (particle physics); Detector","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"],"consensus_categories":[],"category_scores_codex":[0.0003873861,0.0004176483,0.0005614962,0.0005937534,0.0008106208,0.0003517355,0.0003921241,0.0001766636,0.0003010169],"category_scores_gemma":[0.00003518627,0.0004159692,0.0001125052,0.001208829,0.0002762077,0.0005566441,0.0006690802,0.0004751071,0.00006319815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006460333,"about_ca_system_score_gemma":0.0003488317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003397161,"about_ca_topic_score_gemma":0.0006469647,"domain_scores_codex":[0.9969497,0.0001755118,0.0004145119,0.0009949384,0.0006842706,0.0007811207],"domain_scores_gemma":[0.9983096,0.0001934932,0.0001683641,0.000742184,0.0002129216,0.0003734256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002896052,0.0009957959,0.1391712,0.0003626868,0.001326899,0.0007136287,0.01032316,0.008488916,0.8019044,0.02450438,0.007232049,0.002080816],"study_design_scores_gemma":[0.03463757,0.001744692,0.128518,0.004851711,0.001412137,0.0001951118,0.03860945,0.0909342,0.6535025,0.0004602543,0.04042282,0.004711607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808203,0.0003326711,0.0007035108,0.0005994769,0.0001277909,0.0007795274,0.00003759231,0.00005904896,0.01654007],"genre_scores_gemma":[0.9793503,0.00004309158,0.0005151706,0.00002119721,0.00005037582,0.00004460899,0.00002997142,0.00004935435,0.01989587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148402,"threshold_uncertainty_score":0.9998292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760850603189123,"score_gpt":0.2509230134788174,"score_spread":0.2333145074469262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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