{"id":"W2145986337","doi":"10.1103/physrevlett.100.102001","title":"Measurement of Inclusive Jet Cross Sections in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>Z</mml:mi><mml:mo>/</mml:mo><mml:msup><mml:mi>γ</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:mo stretchy=\"false\">(</mml:mo><mml:mo>→</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mo stretchy=\"false\">)</mml:mo><mml:mo>+</mml:mo><mml:mtext mathvariant=\"normal\">jets</mml:mtext></mml:math>Production 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>¯</mml:mo></mml:mover></mml:math>Collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext>   </mml:mtext><mml:mi>TeV</mml:mi></mml:math>","year":2008,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; National Science Council; Alfred P. Sloan Foundation; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Physics; Collider Detector at Fermilab; Nuclear physics; Jet (fluid); Luminosity; Rapidity; Collider; Quantum chromodynamics; Perturbative QCD; Particle physics; Large Hadron Collider; Astrophysics; Galaxy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01044637,0.008657712,0.004159532,0.003829537,0.01347486,0.009020063,0.01441806,0.01174457,0.03444172],"category_scores_gemma":[0.008334982,0.01465418,0.01485219,0.009400807,0.01323133,0.01024606,0.01602772,0.01385594,0.01412383],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004939329,"about_ca_system_score_gemma":0.008345827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252829,"about_ca_topic_score_gemma":0.005229098,"domain_scores_codex":[0.9373726,0.00398097,0.01384346,0.01321246,0.01597041,0.01562009],"domain_scores_gemma":[0.9553826,0.008365873,0.0144728,0.01139078,0.002187288,0.008200693],"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":[0.009604331,0.005036313,0.0001354266,0.007155051,0.01224305,0.006017601,0.007316764,0.01143082,0.01324957,0.7973984,0.1241921,0.006220615],"study_design_scores_gemma":[0.01361207,0.009672519,0.0002636026,0.01108762,0.0143746,0.00969667,0.009948219,0.154552,0.7294161,0.0123176,0.02037142,0.01468765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128638,0.009454345,0.00272031,0.00411963,0.01174961,0.0009177508,0.006082021,0.002238289,0.04985424],"genre_scores_gemma":[0.9333236,0.01231285,0.004949755,0.006837097,0.01307273,0.01308358,0.009704297,0.006214142,0.0005019888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7850808,"threshold_uncertainty_score":0.9978354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198192860214018,"score_gpt":0.2604316755073756,"score_spread":0.2406123894859738,"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."}}