{"id":"W2979333747","doi":"10.1103/physrevc.102.054906","title":"JETSCAPE framework: <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mi>p</mml:mi><mml:mo>+</mml:mo><mml:mi>p</mml:mi></mml:mrow></mml:math> results","year":2020,"lang":"lv","type":"article","venue":"Physical review. C","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; Office of the Vice President for Research, Wayne State University; Office of Science; Ministry of Science and Technology of the People's Republic of China; Canada Council for the Arts; National Natural Science Foundation of China; Canada Foundation for Innovation; National Science Foundation; Compute Canada; Killam Trusts; McGill University; U.S. Department of Energy; Wayne State University","keywords":"Observable; Physics; Monte Carlo method; Nuclear physics; Hadron; Algorithm; Particle physics; Computer science; Statistics; Mathematics; Quantum mechanics","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":[0.003309422,0.002370463,0.001587428,0.001735368,0.001469614,0.004664556,0.006768373,0.002191098,0.09305784],"category_scores_gemma":[0.01014237,0.001624645,0.002356646,0.002107813,0.0009183602,0.003766935,0.002505367,0.003469413,0.03492897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002253971,"about_ca_system_score_gemma":0.003312514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471727,"about_ca_topic_score_gemma":0.008460906,"domain_scores_codex":[0.9966664,0.0004937561,0.0001837326,0.0002751406,0.00205335,0.0003277799],"domain_scores_gemma":[0.9966732,0.001221312,0.0002105145,0.0007825043,0.0009443094,0.000168063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005761977,0.0003815049,0.004497758,0.001078244,0.0003549073,0.0007157655,0.0004048206,0.1831708,0.005953532,0.1413856,0.5961635,0.06531739],"study_design_scores_gemma":[0.0006257645,0.00008829025,0.002270255,0.0002299522,0.00006920913,0.0003131773,0.0001091875,0.4130432,0.03617837,0.06183105,0.4849349,0.00030651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0140708,0.0006342569,0.4885705,0.001513827,0.0008236925,0.0007797002,0.1042403,0.2583258,0.1310412],"genre_scores_gemma":[0.1829107,0.0009544712,0.3795562,0.001883768,0.0003950058,0.003584651,0.1701907,0.2161821,0.0443424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09305784,"threshold_uncertainty_score":0.3113095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884944927937128,"score_gpt":0.2945809646941245,"score_spread":0.2657315154147532,"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."}}