{"id":"W4304975974","doi":"10.1103/physrevd.106.075015","title":"Simulating glueball production in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>N</mml:mi><mml:mi>f</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn>0</mml:mn></mml:math> QCD","year":2022,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Alfred P. Sloan Foundation","keywords":"Glueball; Hadronization; Particle physics; Physics; Quark; Hadron; Quantum chromodynamics","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":[0.0003849807,0.0004216599,0.0003809563,0.0002632187,0.0005481614,0.0006791779,0.001132533,0.0008985899,0.005890443],"category_scores_gemma":[0.001221793,0.0002628464,0.0005606862,0.0005363372,0.000492939,0.0004135827,0.0006138149,0.00086883,0.0002681132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008525984,"about_ca_system_score_gemma":0.0008976339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795165,"about_ca_topic_score_gemma":0.01595639,"domain_scores_codex":[0.9998603,0.00004643506,0.000004146024,0.00001794778,0.0000293577,0.00004187268],"domain_scores_gemma":[0.9993448,0.0004356044,0.00004506676,0.00004340017,0.00005887598,0.00007228815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004718227,0.0002572561,0.005180009,0.0000886887,0.00005972772,0.0002914896,0.0001907551,0.963484,0.004605447,0.0186306,0.001964298,0.004775967],"study_design_scores_gemma":[0.00007708537,0.00004629502,0.000547165,0.000004315843,0.000007330219,0.00001424711,0.00002929446,0.995378,0.001336363,0.002025213,0.0005285522,0.000006139247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379978,0.0001599953,0.03040611,0.0003451118,0.00009286624,0.00009660908,0.001585052,0.00148151,0.02783486],"genre_scores_gemma":[0.9807006,0.00007256779,0.01612698,0.00009437277,0.000008682108,0.00005370137,0.0007823074,0.0002126314,0.001948172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01795165,"threshold_uncertainty_score":0.03569436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827358310439297,"score_gpt":0.3158723759557346,"score_spread":0.2975987928513417,"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."}}