{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007135995,0.0003957121,0.0003036252,0.000889982,0.0003069472,0.0007983419,0.0006283745,0.0005000093,0.001807646],"category_scores_gemma":[0.00157038,0.0003174398,0.0001834145,0.001075131,0.0003058276,0.0004210391,0.0004295959,0.0003272042,0.0004183646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517949,"about_ca_system_score_gemma":0.0001962296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006760503,"about_ca_topic_score_gemma":0.001716137,"domain_scores_codex":[0.9993542,0.0002033249,0.00002600916,0.0001399495,0.0002385321,0.00003805443],"domain_scores_gemma":[0.9988569,0.0004274788,0.0003007104,0.0002123247,0.0001717538,0.00003094234],"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":[0.001346454,0.0002721194,0.04563761,0.0002102958,0.0002368371,0.0004061499,0.0002019974,0.03238268,0.8119932,0.0101692,0.000870558,0.09627289],"study_design_scores_gemma":[0.00007456018,0.0004251576,0.03475934,0.00001893674,0.0001037711,0.0008366187,0.00006378297,0.2182188,0.7402174,0.002374099,0.002823273,0.0000842271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6397902,0.0002445911,0.3521858,0.0000876861,0.00002250888,0.00007131563,0.0007839181,0.001497338,0.005316609],"genre_scores_gemma":[0.9000903,0.00008819891,0.09797744,0.00002271556,0.00000775524,0.00004719345,0.0004921553,0.00007386491,0.001200413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807646,"threshold_uncertainty_score":0.006047249,"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."}}