{"id":"W4297877444","doi":"","title":"Top Quark Mass Measurement in the Lepton + Jets Channel Using a Matrix Element Method and \\textit{in situ} Jet Energy Calibration","year":2010,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; Ministerio de Ciencia e Innovación; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation; National Science Council; Science and Technology Facilities Council; National Research Foundation; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Physics; Calibration; Jet (fluid); Nuclear physics; Quark; Particle physics; Matrix element; Matrix (chemical analysis); Lepton; Channel (broadcasting); Energy (signal processing); In situ; Engineering; Mechanics; Electrical engineering; Materials science","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":[0.000139098,0.0001847322,0.0002763522,0.0002688041,0.000107034,0.00004831866,0.0004232104,0.00008235162,0.00008197124],"category_scores_gemma":[0.000007044971,0.0002112808,0.00007903295,0.0004394882,0.000108452,0.001540196,0.0001403243,0.0001737869,0.000003669363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310858,"about_ca_system_score_gemma":0.00005728184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007427239,"about_ca_topic_score_gemma":0.005001587,"domain_scores_codex":[0.9990159,0.00005986796,0.0001845092,0.000263299,0.0002499834,0.0002264373],"domain_scores_gemma":[0.9994578,0.0000617053,0.00009870015,0.0002644185,0.00003844541,0.0000788834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006475954,0.0001745231,0.9850769,0.0001337456,0.00006522277,0.00004085798,0.0004843391,0.008797502,0.0006684373,0.0007339246,0.0002718181,0.003487983],"study_design_scores_gemma":[0.001086581,0.0000826379,0.9743382,0.00006645024,0.00006179063,0.00001012709,0.0006505713,0.01430004,0.001154169,0.000300628,0.007508428,0.0004403943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900414,0.00003492415,0.008482947,0.0001636015,0.00006024955,0.000215269,0.0001793317,0.00006390279,0.0007583438],"genre_scores_gemma":[0.9966655,0.00006076648,0.003039641,0.00001188801,0.00002305589,8.531198e-8,0.0001122915,0.00001553302,0.00007127952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107387,"threshold_uncertainty_score":0.861578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824643417162007,"score_gpt":0.1941418500843194,"score_spread":0.1758954159126994,"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."}}