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Multiplicity dependence of ϒ production at forward rapidity in pp collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo><mml:mn>13</mml:mn></mml:math> TeV
S. Acharya, D. Adamová, A. Adler, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, A. Akindinov, M. Al-Turany, H. M. Alfanda
Bibliographic record
VenueNuclear Physics B · 2024
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsInstitute of Particle Physics
FundersNuclear PhysicsNational Research, Development and Innovation OfficeInstitut National de Physique Nucléaire et de Physique des ParticulesConsejo Nacional de Ciencia y TecnologíaDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoTürkiye Enerji, Nükleer ve Maden Araştırma KurumuFondo de Cooperación Internacional en Ciencia y TecnologíaState Committee of ScienceNorges ForskningsrådVetenskapsrådetFinanciadora de Estudos e ProjetosSuranaree University of TechnologyVillum FondenJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoGeneral Secretariat for Research and TechnologyDanmarks GrundforskningsfondMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikyPontificia Universidad Católica del PerúNational Research FoundationAustrian Science FundKorea Institute of Science and TechnologyFP7 International CooperationMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungU.S. Department of EnergyNational Research Foundation of KoreaNational Science and Technology Development AgencyNational Natural Science Foundation of ChinaGSI Helmholtzzentrum für SchwerionenforschungDanmarks Frie ForskningsfondÖsterreichischen Akademie der WissenschaftenEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloKorea Institute of Science and Technology InformationNederlandse Organisatie voor Wetenschappelijk OnderzoekDepartment of Atomic Energy, Government of IndiaMinistry of Education of the People's Republic of ChinaScience and Technology Facilities CouncilHrvatska Zaklada za ZnanostBadan Riset dan Inovasi NasionalUniversity Grants CommissionIstituto Nazionale di Fisica NucleareDepartment of Science and Technology, Ministry of Science and Technology, IndiaCentre National de la Recherche ScientifiqueCouncil of Scientific and Industrial Research, IndiaStrongUniversidade Federal do Rio Grande do SulCERNCentro de Aplicaciones Tecnológicas y Desarrollo NuclearNational Science Foundation
KeywordsMultiplicity (mathematics)RapidityComputer scienceMathematicsPhysicsNuclear physicsMathematical analysis
Abstract
International audience
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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.
Study designTheoretical or conceptual
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
Citations2
Published2024
Admission routes1
Has abstractyes