{"id":"W2214381457","doi":"10.1103/physrevd.79.052007","title":"Measurement of the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>t</mml:mi><mml:mover accent=\"true\"><mml:mi>t</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>production cross section in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:msup><mml:mi>fb</mml:mi><mml:mrow><mml:mo>−</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math>of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mover accent=\"true\"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>collisions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>using lepton plus jets events with soft muon<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>b</mml:mi></mml:math>tagging","year":2009,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Particle Physics; Simon Fraser University; University of Toronto; TRIUMF","funders":"Fermilab; Science and Technology Facilities Council; Alfred P. Sloan Foundation; National Science Council; Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; Ministerio de Ciencia e Innovación; 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":"Stress (linguistics); Computer science; Speech recognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157393,0.001247687,0.0006624915,0.001381775,0.001196963,0.002130934,0.001557921,0.002609683,0.04921405],"category_scores_gemma":[0.002356341,0.001117233,0.0008185933,0.001377453,0.0006683522,0.00177402,0.001586028,0.002436254,0.02459739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501072,"about_ca_system_score_gemma":0.001154387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003839271,"about_ca_topic_score_gemma":0.004452592,"domain_scores_codex":[0.9984561,0.0001505089,0.00003165867,0.0004438756,0.0007381669,0.0001796869],"domain_scores_gemma":[0.9983354,0.0003798222,0.0001921919,0.0003974666,0.0005405861,0.000154547],"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":[0.001969066,0.000672387,0.02491836,0.001059145,0.0004526242,0.0009284844,0.0009826336,0.004605025,0.7088314,0.01679113,0.1323658,0.1064239],"study_design_scores_gemma":[0.0001042949,0.000699699,0.06277619,0.0001076025,0.0001815204,0.0005979417,0.0002880584,0.01210903,0.7812295,0.001772456,0.139971,0.0001626667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2325195,0.002464802,0.2563373,0.002741128,0.00232289,0.0007903342,0.0446534,0.02582084,0.4323499],"genre_scores_gemma":[0.7756774,0.001874631,0.06426154,0.001465175,0.0002957172,0.0009607982,0.02005058,0.006514488,0.1288998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04921405,"threshold_uncertainty_score":0.1646374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998889435749692,"score_gpt":0.2770161711861001,"score_spread":0.2570272768286032,"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."}}