{"id":"W3090074824","doi":"10.1103/physrevd.102.059903","title":"Erratum: <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>2</mml:mn><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:math> QCD thermodynamics with gradient flow using two-loop matching coefficients [Phys. Rev. D <b>102</b>, 014510 (2020)]","year":2020,"lang":"lv","type":"erratum","venue":"Physical review. D/Physical review. D.","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Physics; Quantum chromodynamics; Renormalization; Extrapolation; Mathematical physics; Particle physics; Mathematical analysis; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003096163,0.002959298,0.002251046,0.0005834865,0.003518354,0.002528788,0.005368605,0.001990685,0.007065075],"category_scores_gemma":[0.00230966,0.004277496,0.006120208,0.004413767,0.002757905,0.002072175,0.004888103,0.006864708,0.006069151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358377,"about_ca_system_score_gemma":0.003549836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411444,"about_ca_topic_score_gemma":0.0004075553,"domain_scores_codex":[0.9772385,0.001956417,0.004322459,0.00499179,0.006207138,0.005283651],"domain_scores_gemma":[0.9836842,0.002729469,0.004587684,0.004875864,0.0008078653,0.003314901],"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":[0.001070543,0.00215909,0.00001508366,0.009308129,0.003053791,0.001155117,0.001117764,0.007439121,0.004363395,0.8007907,0.1613216,0.008205668],"study_design_scores_gemma":[0.004563615,0.004714422,0.00006035942,0.03851571,0.011428,0.000931638,0.001166191,0.6531728,0.2098595,0.007598056,0.06005077,0.007938955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120269,0.01666489,0.004044087,0.002055053,0.005948799,0.0007077677,0.002437277,0.0006592311,0.055456],"genre_scores_gemma":[0.9530032,0.02112492,0.002814705,0.002023818,0.008697971,0.00367354,0.006069399,0.002132752,0.0004596483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7931926,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823592930931599,"score_gpt":0.3128670714938818,"score_spread":0.2946311421845658,"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."}}