{"id":"W7055470655","doi":"","title":"Characterization of nuclear breakup as a function of hard-scattering kinematics using dijets measured by ATLAS in $p$+Pb collisions","year":2025,"lang":"en","type":"article","venue":"DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)","topic":"Laser Design and Applications","field":"Engineering","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":"Kinematics; Breakup; Atlas (anatomy); Characterization (materials science); Function (biology); Structure function","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":[0.00107045,0.0006544109,0.0004789543,0.001947501,0.0006512136,0.001719858,0.0006529298,0.000564325,0.003795492],"category_scores_gemma":[0.001699358,0.0005859223,0.0004761656,0.001783468,0.0004856752,0.0007948395,0.0008207541,0.0004769017,0.0008549499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052356,"about_ca_system_score_gemma":0.0002927981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208717,"about_ca_topic_score_gemma":0.002273555,"domain_scores_codex":[0.9995346,0.00008198182,0.00002998915,0.0001594351,0.0000889704,0.0001050052],"domain_scores_gemma":[0.9981616,0.0009228439,0.0003600985,0.0001965632,0.0001980698,0.0001608334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01960886,0.0005058132,0.5032595,0.0007142701,0.001094214,0.003010027,0.001121684,0.05867225,0.3725218,0.00863516,0.002389232,0.0284671],"study_design_scores_gemma":[0.0001957161,0.001088037,0.7556485,0.00004549533,0.0004689218,0.001277159,0.0005609771,0.04008409,0.1960136,0.001610753,0.002836369,0.0001702899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809116,0.00069083,0.005520917,0.00006471308,0.00001674142,0.00002544964,0.003248501,0.0005690851,0.008952133],"genre_scores_gemma":[0.9967738,0.0001061466,0.0004624184,0.0000167653,0.000004473654,0.00001683018,0.001705981,0.00006381711,0.0008497734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003795492,"threshold_uncertainty_score":0.01269722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191029251993358,"score_gpt":0.2348146469542979,"score_spread":0.2157117217549621,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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