{"id":"W7053610955","doi":"","title":"Underlying event in hard interactions at the Fermilab Tevatron &lt;i&gt;pp&lt;/i&gt; collider","year":2004,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Laser Design and Applications","field":"Engineering","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":"Tevatron; Parton; Monte Carlo method; Jet (fluid); Fermilab; Collider; Momentum (technical analysis); Perturbative QCD; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551761,0.000340405,0.0003189301,0.0006731373,0.0005874581,0.001525266,0.0003002887,0.0002878,0.001779963],"category_scores_gemma":[0.001407803,0.0002620086,0.0002586234,0.000991341,0.0003045448,0.0004200427,0.000978166,0.0003939207,0.000263149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031981,"about_ca_system_score_gemma":0.0002203617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166216,"about_ca_topic_score_gemma":0.005188379,"domain_scores_codex":[0.9995986,0.00006550027,0.00001785106,0.0001172393,0.0001069296,0.00009394083],"domain_scores_gemma":[0.9990903,0.0002403926,0.000358351,0.000115965,0.00005759274,0.0001373508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003422067,0.0002407673,0.9283171,0.00005163808,0.0001460328,0.003054657,0.0005189556,0.00814728,0.02986923,0.003376413,0.001030844,0.02182507],"study_design_scores_gemma":[0.00006625122,0.0001298209,0.9794483,0.00000719685,0.0000478425,0.0006386657,0.0001335035,0.007732151,0.009393071,0.001684996,0.0006894048,0.00002894337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976329,0.00004620524,0.0005830505,0.00001881187,0.00000156657,0.000004105014,0.0004007804,0.00002775697,0.001284767],"genre_scores_gemma":[0.9988091,0.00001538547,0.000217152,0.00001024287,0.000001900483,0.000003821369,0.000581259,0.00001164673,0.0003494264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166216,"threshold_uncertainty_score":0.01027226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123795366909205,"score_gpt":0.2612569505179699,"score_spread":0.2300189968488778,"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."}}