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Measurement of the normalized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mi>Z</mml:mi><mml:mo stretchy="false">/</mml:mo><mml:msup><mml:mi>γ</mml:mi><mml:mo>∗</mml:mo></mml:msup><mml:mo>→</mml:mo><mml:msup><mml:mi>μ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>μ</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math> transverse momentum distribution in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"><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" altimg="si3.gif" overflow="scroll"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> TeV</mml:mtext></mml:math>
V. M. Abazov, B. Abbott, M. Abolins, B. S. Acharya, M. Adams, T. Adams, G. D. Alexeev, G. Alkhazov, G. Alverson, G. A. Alves, L. S. Ancu, M. Aoki, Y. Arnoud, M. Arov, A. Askew, B. Åsman, O. Atramentov, C. Ávila, J. BackusMayes, F. Badaud, L. Bagby, B. Baldin, D. V. Bandurin, S. Banerjee, E. Barberis, A. F. Barfuss, P. Baringer, J. Barreto, J. F. Bartlett, U. Bassler, S. Beale, A. Bean, M. Begalli, M. Begel, C. Bélanger-Champagne, L. Bellantoni, J. F. Benitez, S. B. Beri, G. Bernardi, R. Bernhard, I. A. Bertram, M. Besançon, R. Beuselinck, V. A. Bezzubov, P. C. Bhat, V. Bhatnagar, G. Blazey, S. Blessing, K. Bloom, A. Boehnlein, D. Boline, T. A. Bolton, E. Boos, G. Borissov, T. Bose, A. Brandt, O. Brandt, R. Brock, G. Brooijmans, A. Bross, D. Brown, X. B. Bu, D. Buchholz, M. Buehler, V. Buescher, V. Bunichev, S. Burdin, T. H. Burnett, C. P. Buszello, P. Calfayan, B. Calpas, S. Calvet, E. Camacho-Pérez, J. Cammin, M. A. Carrasco-Lizarraga, E. Carrera Jarrin, H. Castilla-Valdez, S. Chakrabarti, D. Chakraborty, K. M. Chan, A. Chandra, G. Chen, S. Chevalier-Théry, D. K. Cho, S. W. Cho, S. Choi, B. C. Choudhary, T. Christoudias, S. Cihangir, D. R. Claes, J. Clutter, M. Cooke, W. E. Cooper, M. Corcoran, F. Couderc, M.-C. Cousinou, A. Croc, D. Cutts, M. Ćwiok, A. Das, G. Davies, K. De, S. J. de Jong, E. De La Cruz–Burelo, F. Déliot, M. Demarteau, R. Demina, D. Denisov, S. P. Denisov, S. Desai, K. DeVaughan, H. T. Diehl, M. Diesburg, A. Dominguez, T. Dorland, A. Dubey, L. Dudko, D. Duggan, A. Duperrin, S. Dutt, A. Dyshkant, M. Eads, D. Edmunds, J. Ellison, V. D. Elvira, Y. Enari, S. C. Eno, H. Evans, A. Evdokimov, В. Н. Евдокимов, G. Facini, A. V. Ferapontov, T. Ferbel, F. Fiedler, F. Filthaut, W. C. Fisher, H. E. Fisk, M. Fortner, H. Fox, S. Fuess, T. Gadfort, A. Garcia-Bellido, V. Gavrilov, P. Gay, W. Geist, W. Geng, D. Gerbaudo, C. E. Gerber, Y. Gershtein, D. Gillberg, G. Ginther, G. Golovanov, A. G. Goussiou, P. D. Grannis, S. Greder, H. Greenlee, Z.D. 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Li, Q.Z. Li, S.M. Lietti, J. K. Lim, D. Lincoln, J. Linnemann, V.V. Lipaev, R. Lipton, Y. Liu, Z. Liu, A. Lobodenko, M. Lokajı́ček, P. Love, H. J. Lubatti, R. Luna-Garcia, A. L. Lyon, A. K. A. Maciel, D. Mackin, R. Madar, R. Magaña-Villalba, S. Malik, V. L. Malyshev, Y. Maravin, J. Martínez-Ortega, R. McCarthy, C. L. McGivern, M.M. Meijer, A. Melnitchouk, D. Menezes, P. G. Mercadante, M. Merkin, A. Meyer, N. K. Mondal, T. Moulik, G.S. Muanza, M. Mulhearn, E. Nagy, M. Naimuddin, M. Narain, R. Nayyar, H.A. Neal, J.P. Negret, P. Neustroev, H. Nilsen, S. F. Novaes, T. Nunnemann, G. Obrant, D. Onoprienko, J. Orduna, N. Osman, J. Osta, G.J. Otero y Garzón, M. Owen, M. Padilla, M. Pangilinan, N. Parashar, V. Parihar, S.K. Park, J. Parsons, R. Partridge, N. Parua, A. Patwa, B. Penning, M. Perfilov, Κ. Peters, Y. Peters, G. Petrillo, P. Pétroff, R. Piegaia, J. Piper, M.-A. Pleier, P.L.M. Podesta-Lerma, V. M. Podstavkov, M.-E. Pol, P. Polozov, A. V. Popov, M. Prewitt, D. Price, S. 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Bibliographic record
VenuePhysics Letters B · 2010
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsYork UniversitySimon Fraser University
FundersSecretaría de Ciencia y Técnica, Universidad de Buenos AiresInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilState Atomic Energy Corporation ROSATOMFundação para o Desenvolvimento da UNESPCentre National de la Recherche ScientifiqueFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConsejo Nacional de Ciencia y TecnologíaMinisterstvo Školství, Mládeže a TělovýchovyStichting voor Fundamenteel Onderzoek der MaterieBundesministerium für Bildung und ForschungRussian Foundation for Basic ResearchConselho Nacional de Desenvolvimento Científico e TecnológicoVetenskapsrådetU.S. Department of EnergyNational Natural Science Foundation of ChinaFundação de Amparo à Pesquisa do Estado de São PauloFederal Agency for Science and InnovationDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Deutsche ForschungsgemeinschaftChinese Academy of SciencesDepartment of Atomic Energy, Government of IndiaScience Foundation IrelandNational Science FoundationRoyal SocietyGrantová Agentura České RepublikyKortney Rose FoundationCalifornia Earthquake AuthorityKorea Science and Engineering FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Investigaciones Científicas y TécnicasCRC Health Group
KeywordsPhysicsLuminosityQuantum chromodynamicsSensitivity (control systems)Particle physicsLarge Hadron ColliderNuclear physicsAlgorithmComputational physicsComputer scienceElectronic engineeringQuantum mechanics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.998
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.008 | 0.013 |
| Meta-epidemiology (broad) | 0.003 | 0.013 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.013 | 0.013 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.042 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.017
GPT teacher head0.239
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
Meta-epidemiology (narrow)Science and technology studiesOpen scienceResearch integrityInsufficient payload (model declined to judge)
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations67
Published2010
Admission routes2
Has abstractno