{"id":"W2166937869","doi":"10.1103/physrevlett.106.122001","title":"Precise Study of the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>Z</mml:mi><mml:mo>/</mml:mo><mml:msup><mml:mi>γ</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:math>Boson Transverse Momentum Distribution in<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 Using a Novel Technique","year":2011,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Simon Fraser University","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Fundação para o Desenvolvimento da UNESP; Centre National de la Recherche Scientifique; Institut National de Physique Nucléaire et de Physique des Particules; Vetenskapsrådet; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Bildung und Forschung; Russian Foundation for Basic Research; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Korea Science and Engineering Foundation; Department of Science and Technology, Ministry of Science and Technology, India; Grantová Agentura České Republiky; Federal Agency for Science and Innovation; Deutsche Forschungsgemeinschaft; Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; National Science Foundation; Science Foundation Ireland; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Fermilab; Consejo Nacional de Investigaciones Científicas y Técnicas; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Energy","keywords":"Physics; Tevatron; Quantum chromodynamics; Particle physics; Rapidity; Fermilab; Nuclear physics; Hadron","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002628591,0.002634255,0.001544831,0.0005453449,0.003492967,0.001712204,0.004221221,0.002029949,0.002567885],"category_scores_gemma":[0.001250761,0.003734955,0.004958619,0.002679287,0.003725516,0.002904259,0.004590431,0.003875484,0.002348772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375504,"about_ca_system_score_gemma":0.001430292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320763,"about_ca_topic_score_gemma":0.0003591217,"domain_scores_codex":[0.981204,0.001043784,0.004398741,0.004020291,0.004657026,0.004676125],"domain_scores_gemma":[0.9872933,0.002159574,0.004221994,0.003935794,0.000423496,0.001965842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002516904,0.004108186,0.00006722629,0.00284157,0.003662593,0.0006843696,0.004196354,0.002129363,0.0232838,0.9464679,0.007735704,0.002306043],"study_design_scores_gemma":[0.006008004,0.004194456,0.0001989117,0.007831755,0.007099311,0.0007814313,0.004862311,0.3189986,0.6343256,0.006003981,0.004811828,0.00488374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809625,0.002306684,0.003066208,0.001267469,0.002509825,0.0004929723,0.001963047,0.0004301152,0.007001228],"genre_scores_gemma":[0.9828939,0.00261659,0.001764312,0.002044945,0.002967439,0.004619293,0.001804629,0.001235071,0.00005386157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9404639,"threshold_uncertainty_score":0.9993241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459561082301798,"score_gpt":0.2660588434450553,"score_spread":0.2414632326220373,"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."}}