{"id":"W7011402152","doi":"","title":"Measurement of the Inclusive Jet Cross Section Using the <i>k</i><sub>T</sub> Algorithm in <i>pp</i> Collisions at √s = 1.96 TeV","year":2006,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; National Science Council; Alfred P. Sloan Foundation; Fermilab; 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":"Collider Detector at Fermilab; Rapidity; Jet (fluid); Fermilab; Cross section (physics); Perturbative QCD; Luminosity; Collider; Quantum chromodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001563532,0.0001129768,0.0001850331,0.00002136738,0.000576327,0.000009853266,0.0002184489,0.00003148399,0.00001607069],"category_scores_gemma":[0.000002896256,0.00008677776,0.0001498805,0.0003520561,0.000418967,0.00009956223,0.0005011907,0.000108771,0.000004329134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594465,"about_ca_system_score_gemma":0.00004443946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420554,"about_ca_topic_score_gemma":0.0001712993,"domain_scores_codex":[0.9991112,0.00007896082,0.0001474962,0.0001650373,0.0003127753,0.0001845274],"domain_scores_gemma":[0.9994772,0.00004614215,0.0001519833,0.0001785247,0.0001155711,0.00003057314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001005189,0.0006954187,0.2747973,0.00001502888,0.0001125146,0.00000182331,0.001494691,0.003767201,0.7047277,0.01108222,0.0004704294,0.00273516],"study_design_scores_gemma":[0.001052912,0.00004453912,0.03733531,0.0000679463,0.00005640132,5.825867e-7,0.002754602,0.00510023,0.9442729,0.00866524,0.0004913524,0.0001580142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954362,0.00009708243,0.002199614,0.0002853943,0.000111676,0.0002276443,0.00005995099,0.000007100669,0.001575359],"genre_scores_gemma":[0.9996871,0.000003899793,0.000170805,0.00001170231,0.00009720406,0.000001180419,0.000003229015,0.000006451418,0.00001843382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2395452,"threshold_uncertainty_score":0.4432699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072770625974994,"score_gpt":0.2234445038870639,"score_spread":0.212716797627314,"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."}}