{"id":"W1969867191","doi":"10.1103/physrevlett.114.022301","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi mathvariant=\"normal\">Λ</mml:mi><mml:mi mathvariant=\"normal\">Λ</mml:mi></mml:math>Correlation Function in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>Au</mml:mi><mml:mo>+</mml:mo><mml:mi>Au</mml:mi></mml:mrow></mml:math>Collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msqrt><mml:mrow><mml:msub><mml:mrow><mml:mi>s</mml:mi></mml:mrow><mml:mrow><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>200</mml:mn><mml:mtext>  </mml:mtext><mml:mi>GeV</mml:mi></mml:mrow></mml:math>","year":2015,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Institut National de Physique Nucléaire et de Physique des Particules; Office of Science; Ministry of Education, India; Narodowym Centrum Nauki; Ministry of Education of the People's Republic of China; Centre National de la Recherche Scientifique; Department of Atomic Energy, Government of India; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; Department of Science and Technology, Ministry of Science and Technology, India; Council of Scientific and Industrial Research, India; National Research Foundation; Frankfurt Institute for Advanced Studies; Ministry of Education and Science of the Russian Federation; Canadian Anesthesiologists' Society; National Energy Research Scientific Computing Center; Korea Institute of Science and Technology Information; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Energy; National Science Foundation","keywords":"Mathematics; Algorithm","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.009355335,0.004649284,0.001885817,0.002787256,0.007963951,0.007247716,0.01004366,0.008550506,0.4308736],"category_scores_gemma":[0.00739502,0.009031733,0.009600625,0.006930968,0.007675075,0.00802733,0.0104,0.009203998,0.01684966],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638872,"about_ca_system_score_gemma":0.008720747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059097,"about_ca_topic_score_gemma":0.006041282,"domain_scores_codex":[0.9576331,0.002952254,0.008790446,0.008123373,0.01136976,0.01113112],"domain_scores_gemma":[0.9658372,0.007179328,0.009757813,0.009786579,0.001088733,0.006350341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005259925,0.001800775,0.00005148865,0.004476449,0.005692492,0.004809163,0.003590716,0.01080351,0.004883328,0.613916,0.3412932,0.00342291],"study_design_scores_gemma":[0.007397062,0.005742019,0.0002788253,0.007879203,0.00831324,0.005283441,0.004881463,0.1785571,0.7535957,0.0006630589,0.01968833,0.007720612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6247208,0.004617076,0.003262792,0.002916158,0.008771841,0.0002578565,0.002276837,0.001055309,0.3521214],"genre_scores_gemma":[0.9464112,0.006982251,0.00506888,0.005599702,0.01068836,0.009541495,0.01018579,0.004605562,0.0009167942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7487123,"threshold_uncertainty_score":0.9976037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058004222307357,"score_gpt":0.2580091552346921,"score_spread":0.2374291130116185,"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."}}