{"id":"W2166083445","doi":"10.1103/physrevlett.105.252001","title":"Top Quark Mass Measurement in the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mtext mathvariant=\"normal\">lepton</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant=\"normal\">jets</mml:mtext></mml:math>Channel Using a Matrix Element Method and<i>in situ</i>Jet Energy Calibration","year":2010,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Particle Physics; Simon Fraser University; University of Toronto; TRIUMF","funders":"Science and Technology Facilities Council","keywords":"Physics; Particle physics; Lepton; Top quark; Muon; Energy (signal processing); Tevatron; Quark; Luminosity; Jet (fluid); Missing energy; Order (exchange); Standard Model (mathematical formulation); Nuclear physics; Electron; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007836687,0.0005335351,0.0004465771,0.001359928,0.0005022965,0.001225845,0.0006423295,0.0006724243,0.01275481],"category_scores_gemma":[0.001271815,0.0004169597,0.0006038714,0.001732733,0.0002346673,0.000583796,0.0006174198,0.0004348269,0.002788018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216309,"about_ca_system_score_gemma":0.0003894126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979004,"about_ca_topic_score_gemma":0.003950096,"domain_scores_codex":[0.9993771,0.0000747517,0.00002963741,0.000196023,0.0002283446,0.00009413264],"domain_scores_gemma":[0.9993218,0.0001718476,0.0001567019,0.0001611918,0.0001307431,0.00005785086],"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":[0.004114818,0.0005959115,0.1778265,0.0005586758,0.0006542598,0.00142154,0.000451884,0.009389343,0.6773263,0.012442,0.01265245,0.1025663],"study_design_scores_gemma":[0.0001259299,0.0009340454,0.1972673,0.00004886362,0.0003091093,0.001061649,0.0001702721,0.03176854,0.7526508,0.002376615,0.01316215,0.000124655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442703,0.0005827164,0.1025679,0.0001517744,0.0001000503,0.0001422307,0.01332042,0.003686261,0.03517831],"genre_scores_gemma":[0.9642833,0.0001619011,0.02439422,0.00005006128,0.00001756425,0.0000354833,0.005162568,0.0003177093,0.005577264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275481,"threshold_uncertainty_score":0.04266918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084066791146695,"score_gpt":0.2773825606177154,"score_spread":0.2565418927062485,"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."}}