{"id":"W247514653","doi":"10.1103/physrevd.75.092006","title":"Measurement of the inclusive jet cross section using the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant=\"normal\">T</mml:mi></mml:msub></mml:math>algorithm 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:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>with the CDF II detector","year":2007,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Fermilab; Science and Technology Facilities Council; Alfred P. Sloan Foundation; National Science Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Physics; Jet (fluid); Collider Detector at Fermilab; Rapidity; Collider; Particle physics; Nuclear physics; Quantum chromodynamics; Cross section (physics); Algorithm; Hadron; Large Hadron Collider; Computer science; 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":"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":[0.003941866,0.00203904,0.001242417,0.0004636771,0.005107022,0.001720611,0.003066333,0.002618742,0.002039247],"category_scores_gemma":[0.002449372,0.002791893,0.003373781,0.002365441,0.004491637,0.002142033,0.003477485,0.003440069,0.001531729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006996382,"about_ca_system_score_gemma":0.001812546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810707,"about_ca_topic_score_gemma":0.001991033,"domain_scores_codex":[0.9830986,0.001440313,0.004143653,0.003374149,0.003822153,0.00412113],"domain_scores_gemma":[0.9858779,0.003994837,0.00429506,0.003348429,0.0006882743,0.001795507],"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":[0.0026501,0.001728918,0.0001474369,0.002454422,0.002863437,0.0006557698,0.004516406,0.001651875,0.007317727,0.9522766,0.01841804,0.005319281],"study_design_scores_gemma":[0.006051496,0.006300064,0.000577967,0.005666506,0.00769266,0.001900759,0.006124515,0.1369914,0.7376621,0.07989509,0.00641786,0.004719614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814537,0.005947415,0.002687148,0.002069893,0.002606095,0.0002989481,0.0008622107,0.0002841188,0.0037905],"genre_scores_gemma":[0.9804526,0.005279429,0.001822836,0.003775042,0.003099349,0.003180524,0.001472595,0.0008571073,0.00006050645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8723815,"threshold_uncertainty_score":0.9993157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757618498820228,"score_gpt":0.279605115800786,"score_spread":0.2620289308125837,"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."}}