{"id":"W2965681070","doi":"10.1140/epjc/s10052-019-7489-6","title":"Measurement of flow harmonics correlations with mean transverse momentum in lead–lead and proton–lead collisions at $$\\sqrt{s_{\\mathrm{NN}}} = 5.02~\\hbox {TeV}$$ with the ATLAS detector","year":2019,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; Carleton University; Simon Fraser University; University of British Columbia; York University; University of Alberta; Université de Montréal; Institute of Particle Physics; University of Victoria; McGill University; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Social Fund; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; 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; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; 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; Austrian Science Fund; U.S. Department of Energy; 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; Generalitat de Catalunya; 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); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Physics; Correlation coefficient; Nucleon; Nuclear physics; Machine learning; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009987355,0.0002800805,0.0003453165,0.00008393155,0.0004971187,0.0001300179,0.0004905203,0.0000197302,0.00003241112],"category_scores_gemma":[0.00001359459,0.000140272,0.0001302736,0.0005354944,0.0003310292,0.0002189547,0.0001587901,0.0008178391,0.0001525057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224864,"about_ca_system_score_gemma":0.0001530327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004493251,"about_ca_topic_score_gemma":0.00005487721,"domain_scores_codex":[0.997,0.0008208184,0.0003606282,0.0003046449,0.001034475,0.0004793966],"domain_scores_gemma":[0.9986278,0.0002032015,0.0002127332,0.0004967562,0.0002788499,0.0001806381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004200969,0.003983315,0.02949226,0.0001566086,0.001658803,0.0001833356,0.02268124,0.3523083,0.5538729,0.005470117,0.003073126,0.02291898],"study_design_scores_gemma":[0.0377939,0.0105372,0.06165872,0.003807611,0.001568027,0.0002955305,0.01874585,0.5826086,0.2620024,0.001745176,0.01560762,0.003629322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912627,0.00005052937,0.00135832,0.0007329996,0.00004519954,0.001027058,0.00002499196,0.00001538382,0.005482783],"genre_scores_gemma":[0.9988748,0.000009915807,0.0001647437,0.000004161978,0.0002225651,0.00003802573,0.000003124164,0.00006192025,0.000620701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918704,"threshold_uncertainty_score":0.5720125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235346876587221,"score_gpt":0.2493550812298617,"score_spread":0.2270016124639895,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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