{"id":"W7067313006","doi":"","title":"Longitudinal flow decorrelations in Xe+Xe collisions at $\\\\sqrt{^{S}NN}=5.44$ TeV with the ATLAS detector","year":2021,"lang":"en","type":"other","venue":"Jagiellonian University Repository (Jagiellonian University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Social Fund; 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; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Centre National pour la Recherche Scientifique et Technique; National Research Center \"Kurchatov Institute\"; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Joint Institute for Nuclear Research; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Beijing Municipal Science and Technology Commission; Austrian Science Fund; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Department of Energy; National Natural Science Foundation of China; Institut de Valorisation des Données; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 Marie Skłodowska-Curie Actions; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Education, Culture, Sports, Science and Technology; General Secretariat for Research and Technology; Agence Nationale de la Recherche; Ministerstwo Edukacji i Nauki; CERN; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Deutsche Forschungsgemeinschaft; Ministerio de Ciencia e Innovación; European Commission; Türkiye Atom Enerjisi Kurumu; Agencia Nacional de Investigación y Desarrollo; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; National Science Foundation; Compute Canada; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Canarie; Danmarks Grundforskningsfond; Alexander von Humboldt-Stiftung","keywords":"Decorrelation; Amplitude; Transverse plane; Detector; Atlas detector; Large Hadron Collider; Flow (mathematics)","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":[0.00092316,0.000750614,0.0005244891,0.001068543,0.001003898,0.001403944,0.0006203546,0.0003852614,0.01538769],"category_scores_gemma":[0.001073154,0.000663341,0.0004883808,0.00103905,0.0004309796,0.000778413,0.001312472,0.0005845997,0.001600592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008871935,"about_ca_system_score_gemma":0.0005263286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006287557,"about_ca_topic_score_gemma":0.008481557,"domain_scores_codex":[0.9995613,0.0001156266,0.00001728587,0.0001080876,0.00006721579,0.0001305358],"domain_scores_gemma":[0.9990755,0.0003169821,0.0001938578,0.00009687194,0.0001459615,0.0001706725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01931523,0.002490644,0.3150909,0.0007984894,0.0009748501,0.006620008,0.003182355,0.1796691,0.1222791,0.156835,0.1150158,0.07772834],"study_design_scores_gemma":[0.00131035,0.001038343,0.5280653,0.0001653866,0.0003541333,0.001467742,0.0007958455,0.3466651,0.07322136,0.02969339,0.01664749,0.0005757176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389182,0.0006330403,0.006728649,0.0005081695,0.0001056844,0.00004625112,0.009800625,0.001782618,0.04147677],"genre_scores_gemma":[0.9841382,0.0001220831,0.001540411,0.00006200355,0.00004099853,0.00004288561,0.005045403,0.0003348006,0.008673367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538769,"threshold_uncertainty_score":0.05147696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007840457992407434,"score_gpt":0.1933412988143418,"score_spread":0.1855008408219344,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}