{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008153745,0.0002324943,0.0002309044,0.0009496884,0.0003160645,0.0008019533,0.0003170995,0.0002574187,0.001824284],"category_scores_gemma":[0.001400389,0.0003241591,0.0002193969,0.0007507298,0.0003399732,0.0004105362,0.0005007113,0.0004247477,0.0003532821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155152,"about_ca_system_score_gemma":0.000242134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171657,"about_ca_topic_score_gemma":0.001999091,"domain_scores_codex":[0.9995511,0.0001016138,0.00001412058,0.000101097,0.0001472197,0.00008467463],"domain_scores_gemma":[0.9990749,0.0003506515,0.0002386465,0.00008642561,0.0001356768,0.0001136145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004540975,0.000336119,0.5800872,0.00006235349,0.0003013471,0.000660722,0.0006712262,0.007542413,0.3780524,0.005345993,0.002101291,0.02029794],"study_design_scores_gemma":[0.0001224058,0.0004659118,0.7709312,0.0000119627,0.00009141614,0.0005814752,0.0001901975,0.0336915,0.1905674,0.001361919,0.001870619,0.0001138403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923567,0.00009625653,0.00509428,0.0000423187,0.00000686805,0.00001014744,0.0005590193,0.0001238943,0.001710614],"genre_scores_gemma":[0.9978572,0.00002106768,0.001157555,0.00001333574,0.000009191965,0.000008510993,0.0005459797,0.00002181245,0.0003654093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002171657,"threshold_uncertainty_score":0.00610286,"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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