{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003871831,0.004915462,0.002298885,0.003300019,0.00280456,0.01106924,0.006700477,0.004895288,0.5087852],"category_scores_gemma":[0.01292775,0.003215775,0.004162963,0.004984561,0.001663192,0.0107433,0.006274709,0.005159472,0.6174646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005036816,"about_ca_system_score_gemma":0.004139101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0295641,"about_ca_topic_score_gemma":0.0260858,"domain_scores_codex":[0.9963053,0.0006013953,0.0003993153,0.000585599,0.001636875,0.0004715454],"domain_scores_gemma":[0.9944357,0.0008868342,0.0002384628,0.00211115,0.001934252,0.0003935579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001815178,0.00007189639,0.0003445635,0.0002551845,0.00003434457,0.0001418483,0.0001834012,0.0009424448,0.002096924,0.01663318,0.9360306,0.04308403],"study_design_scores_gemma":[0.00006210083,0.00002566501,0.0005074283,0.00009090415,0.00002128364,0.0001695017,0.0001094211,0.003543946,0.005059045,0.009330128,0.9809999,0.00008059693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00168446,0.0004173513,0.313089,0.004472955,0.001768784,0.0007727866,0.06667214,0.2713673,0.3397552],"genre_scores_gemma":[0.01991368,0.001636481,0.1333083,0.004547511,0.0006884778,0.001314253,0.1571966,0.2227249,0.4586698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5087852,"threshold_uncertainty_score":0.7006582,"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."}}