{"id":"W7053610955","doi":"","title":"Underlying event in hard interactions at the Fermilab Tevatron <i>pp</i> 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332219,0.0001919396,0.0001561022,0.00009282459,0.0002365378,0.00007418962,0.0002517229,0.00007627099,0.0002112079],"category_scores_gemma":[0.00002120746,0.0001648404,0.00009019484,0.0004154738,0.00005033014,0.0001766141,0.00006459776,0.0002596365,0.0004941223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059809,"about_ca_system_score_gemma":0.0000566018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004212337,"about_ca_topic_score_gemma":0.01455839,"domain_scores_codex":[0.9989281,0.00003363333,0.0003000336,0.0002268581,0.0001742778,0.0003370456],"domain_scores_gemma":[0.999282,0.0001205075,0.00003972968,0.0004520027,0.00002864155,0.00007710716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002888375,0.0002275109,0.002022212,0.00006423731,0.0001317965,0.00002815291,0.002455478,0.1402108,0.8188084,0.01060131,0.02389596,0.001525178],"study_design_scores_gemma":[0.003702051,0.0001317641,0.2023177,0.0004131362,0.0001417567,0.0001941264,0.00012794,0.01486128,0.01344301,0.007779203,0.7553983,0.001489762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847691,0.0007487027,0.003746638,0.001319643,0.0004806382,0.0005470281,0.00003222649,0.0003133543,0.008042644],"genre_scores_gemma":[0.9964187,0.0001427699,0.0003066177,0.0001576105,0.00008536127,0.0002523573,0.0000310861,0.00004950449,0.002556006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8053654,"threshold_uncertainty_score":0.8123922,"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."}}