{"id":"W2561106105","doi":"10.1103/physrevd.92.039901","title":"Publisher’s Note: Measurement of the production and differential cross sections of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>W</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>W</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math>bosons in association with jets in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mover accent=\"true\"><mml:mi>p</mml:mi><mml:mo accent=\"true\" stretchy=\"false\">¯</mml:mo></mml:mover></mml:math>collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:mrow></mml:math>[Phys. Rev. D<b>91</b>, 111101(R) (2015)]","year":2015,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; Alfred P. Sloan Foundation; National Science Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Bundesministerium für Bildung und Forschung; Science and Technology Facilities Council; National Research Foundation; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"License; Citation; Attribution; Computer science; Library science; Algorithm; Information retrieval; Physics; World Wide Web; Psychology; Operating system","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004898096,0.002399317,0.001417786,0.00103395,0.004243996,0.003017924,0.00407173,0.004370035,0.007216753],"category_scores_gemma":[0.007225984,0.003849034,0.003966908,0.00364002,0.004442148,0.00378288,0.003940674,0.004678824,0.001955785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000985058,"about_ca_system_score_gemma":0.003909722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004661373,"about_ca_topic_score_gemma":0.004618897,"domain_scores_codex":[0.9770061,0.00211972,0.005378311,0.004620824,0.005689322,0.005185698],"domain_scores_gemma":[0.9811875,0.004703224,0.005791056,0.004443296,0.001132956,0.002741958],"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":[0.003540798,0.002060561,0.0002909747,0.003519017,0.003339498,0.000906875,0.003838345,0.003675952,0.004364439,0.898168,0.07210891,0.004186677],"study_design_scores_gemma":[0.008910593,0.008452178,0.001162346,0.007591147,0.009113057,0.002925043,0.005972002,0.1742358,0.7414298,0.02510214,0.008815259,0.006290616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753869,0.00470625,0.001297974,0.002955541,0.003777536,0.0003136134,0.001208763,0.0004011808,0.009952246],"genre_scores_gemma":[0.9755148,0.006776458,0.001988258,0.002214717,0.003723503,0.005174682,0.003122095,0.001311472,0.0001739793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8730658,"threshold_uncertainty_score":0.9988744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248196608043969,"score_gpt":0.2846061110143677,"score_spread":0.262124144933928,"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."}}