{"id":"W2529116539","doi":"10.1103/physrevlett.118.122301","title":"Observation of Charge-Dependent Azimuthal Correlations in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mtext>−</mml:mtext><mml:mi>Pb</mml:mi></mml:mrow></mml:math> Collisions and Its Implication for the Search for the Chiral Magnetic Effect","year":2017,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Society of Transnational Academic Researchers Scholars Network; H2020 European Research Council; Institut National de Physique Nucléaire et de Physique des Particules; Secretaría de Estado de Investigación, Desarrollo e Innovación; Russian Academy of Sciences; Science and Technology Facilities Council; Laboratorio Nacional de Supercómputo del Sureste de Mexico; State Fund for Fundamental Research of Ukraine; Pakistan Atomic Energy Commission; State Atomic Energy Corporation ROSATOM; Benemérita Universidad Autónoma de Puebla; Foundation for Promotion of Material Science and Technology of Japan; National Institutes of Health; Institute for Research in Fundamental Sciences; Ministry of Education and Science; Fundação para a Ciência e a Tecnologia; Universidad Autónoma de San Luis Potosí; Ministry of Education, India; National Natural Science Foundation of China; National Research Foundation of Korea; National Science and Technology Development Agency; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Fonds De La Recherche Scientifique - FNRS; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministry of Environment; Ministry of Business, Innovation and Employment; General Secretariat for Research and Technology; Ministry of Science, ICT and Future Planning; Fonds Wetenschappelijk Onderzoek; Austrian Science Fund; Deutsche Forschungsgemeinschaft; Chinese Academy of Sciences; Ministerio de Economía y Competitividad; Bundesministerium für Bildung und Forschung; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; European Regional Development Fund; Centre National de la Recherche Scientifique; Academy of Finland; National Science Council; Russian Foundation for Basic Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Research Promotion Foundation; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; U.S. Department of Energy; Fundação de Amparo à Pesquisa do Estado de São Paulo; Instituto Nazionale di Fisica Nucleare; Monash University; Universiti Malaya; Department of Science and Technology, Ministry of Science and Technology, India; National Academy of Sciences of Ukraine; Institute for the Promotion of Teaching Science and Technology; CS Fund; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; CERN; National Science Foundation; Science Foundation Ireland; Mountain Equipment Co-operative; Secretaría de Educación Pública; Ministry of Science and Technology of the People's Republic of China; Department of Atomic Energy, Government of India; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Consejo Nacional de Ciencia y Tecnología; Hungarian Scientific Research Fund; California Earthquake Authority; Helmholtz-Gemeinschaft; Hispanics in Philanthropy; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Concern Foundation","keywords":"Computer science; Physics; Algorithm; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001679745,0.0004143158,0.0002681547,0.0001351424,0.001702943,0.0007522434,0.001395456,0.0003377929,0.01504866],"category_scores_gemma":[0.001188847,0.0005519695,0.001013548,0.0005643648,0.0007881006,0.0007613645,0.000933134,0.000894276,0.000527821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001285004,"about_ca_system_score_gemma":0.0005377607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000661581,"about_ca_topic_score_gemma":0.0001898358,"domain_scores_codex":[0.9953914,0.0003576296,0.000962062,0.0008921131,0.001240403,0.001156427],"domain_scores_gemma":[0.9934419,0.003432992,0.000939626,0.001643811,0.000147085,0.0003945923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005003682,0.0002968927,0.00006736138,0.00153086,0.0005694013,0.00003244315,0.0007887227,0.005265826,0.007031211,0.953968,0.02435115,0.005597768],"study_design_scores_gemma":[0.001369631,0.0009761152,0.001516132,0.0015271,0.0009913603,0.00003906606,0.0002452326,0.6076732,0.3828819,0.00006281608,0.002165638,0.0005518149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97449,0.002194658,0.002004432,0.004782297,0.0006791811,0.0002171882,0.0003888008,0.00003638734,0.01520707],"genre_scores_gemma":[0.9920404,0.001642492,0.0003576416,0.0005304158,0.001120882,0.003436917,0.0005245939,0.0002204428,0.0001262343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9539052,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012944478040482,"score_gpt":0.2998591994097308,"score_spread":0.269729754629326,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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