{"id":"W4412465632","doi":"10.1007/jhep07(2025)118","title":"Search for jet quenching with dijets from high-multiplicity pPb collisions at $$\\sqrt{{s}_{\\text{NN}}}$$ = 8.16 TeV","year":2025,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Qatar National Research Fund; Ministry of Higher Education, Science, Research and Innovation, Thailand; Ministry of Science,Technology and Research; Latvijas Zinātnes Padome; European Regional Development Fund; Centre National de la Recherche Scientifique; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; National Academy of Sciences of Ukraine; U.S. Department of Energy; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ministry of Education, India; Benemérita Universidad Autónoma de Puebla; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; National Natural Science Foundation of China; National Science and Technology Development Agency; A.G. Leventis Foundation; Fundamental Research Funds for the Central Universities; Fonds Wetenschappelijk Onderzoek; Ministry of Science, ICT and Future Planning; Fonds De La Recherche Scientifique - FNRS; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bulgarian National Science Fund; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Alexander von Humboldt-Stiftung; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Consejo Nacional de Ciencia y Tecnología; Austrian Science Fund; Ministerstvo Školství, Mládeže a Tělovýchovy; Fundação para a Ciência e a Tecnologia; Universidad Autónoma de San Luis Potosí; Kavli Foundation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Science Foundation; Science Foundation Ireland; Hellenic Foundation for Research and Innovation; Nvidia; Department of Science and Technology, Ministry of Science and Technology, India; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Shota Rustaveli National Science Foundation; Deutsche Forschungsgemeinschaft; Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; CERN; Science and Technology Facilities Council; Welch Foundation; Weston Havens Foundation; Magyar Tudományos Akadémia; National Science Council; Pakistan Atomic Energy Commission; Fonds National de la Recherche Luxembourg; Alfred P. Sloan Foundation","keywords":"Physics; Jet quenching; Particle physics; Multiplicity (mathematics); Nuclear physics; Jet (fluid); Quenching (fluorescence); Quantum chromodynamics; Quark–gluon plasma; Fluorescence; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007426019,0.0003783859,0.0003788583,0.001002556,0.0003919719,0.001038282,0.0004905451,0.0003566929,0.001028644],"category_scores_gemma":[0.001339636,0.0003420004,0.0002512912,0.001187542,0.000267628,0.0004149559,0.0005943822,0.0004787192,0.0001762976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471822,"about_ca_system_score_gemma":0.0002283324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215899,"about_ca_topic_score_gemma":0.001192853,"domain_scores_codex":[0.9996831,0.00003500647,0.00001274389,0.00008919535,0.0001191211,0.00006069777],"domain_scores_gemma":[0.9992831,0.000203015,0.0002754555,0.00006946669,0.00007032953,0.00009871682],"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":[0.003985803,0.00040245,0.5077914,0.0002204142,0.0002761057,0.004080873,0.0004052809,0.01044812,0.4453171,0.003472471,0.001247869,0.02235208],"study_design_scores_gemma":[0.0001546586,0.0009150956,0.7813271,0.00003458854,0.000193726,0.002836911,0.0001710875,0.0551043,0.1536489,0.002112354,0.003400649,0.0001006575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969653,0.0001785192,0.001396001,0.00002153156,0.000004042463,0.00001189684,0.0003124584,0.00009577338,0.001014474],"genre_scores_gemma":[0.9981095,0.00006035357,0.0008127547,0.00001835603,0.000006514501,0.000007612614,0.0007633224,0.00002387737,0.0001977752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001215899,"threshold_uncertainty_score":0.00392729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183686041099647,"score_gpt":0.2676020535443893,"score_spread":0.2557651931333929,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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