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Measurements of the groomed and ungroomed jet angularities in pp collisions at root s=5.02 TeV
S. Acharya, D. Adamová, Alexander Adler, G. Aglieri Rinella, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, I. G. Bearden, J. J. Gaardhøje, B. S. Nielsen, Z. Moravcova, Vytautas Vislavicius, Y. Zhou
Bibliographic record
VenueResearch at the University of Copenhagen (University of Copenhagen) · 2022
Typearticle
Languageen
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 ParticulesGSI Helmholtzzentrum für SchwerionenforschungIstituto Nazionale di Fisica NuclearePontificia Universidad Católica del PerúState Committee of ScienceGoethe-Universität Frankfurt am MainNorges ForskningsrådUniversidade Federal do Rio Grande do SulUniversidad Nacional Autónoma de MéxicoSuranaree University of TechnologySlovenská Akadémia ViedAkademie Věd České RepublikyNational Natural Science Foundation of ChinaNational Research Foundation of KoreaNational Science and Technology Development AgencyVetenskapsrådetUniversiteit UtrechtFinanciadora de Estudos e ProjetosJoint Institute for Nuclear ResearchConselho Nacional de Desenvolvimento Científico e TecnológicoDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoMinistry of Education and Science of the Russian FederationConsejo Nacional de Ciencia y TecnologíaJapan Society for the Promotion of ScienceVillum FondenScience and Technology Facilities CouncilInha UniversityNational Research FoundationNational Research CentreAustrian Science FundDanmarks Frie ForskningsfondÖsterreichischen Akademie der WissenschaftenFundação de Amparo à Pesquisa do Estado de São PauloJeonbuk National UniversityKorea Institute of Science and Technology InformationNederlandse Organisatie voor Wetenschappelijk OnderzoekFP7 International CooperationBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyMinistry of Education of the People's Republic of ChinaHomi Bhabha National InstituteRussian Foundation for Basic ResearchHrvatska Zaklada za ZnanostUniversity Grants CommissionDepartment of Science and Technology, Ministry of Science and Technology, IndiaMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikyDanmarks GrundforskningsfondCentro de Aplicaciones Tecnológicas y Desarrollo NuclearInstitute for Innovative Science and Technology, Nagasaki Institute of Applied ScienceCERNNational Science FoundationU.S. Department of EnergyOffice of the Higher Education CommissionRussian Science FoundationGeneral Secretariat for Research and TechnologyCentre National de la Recherche ScientifiqueCouncil of Scientific and Industrial Research, IndiaKorea Institute of Science and TechnologyFondo de Cooperación Internacional en Ciencia y TecnologíaTürkiye Enerji, Nükleer ve Maden Araştırma Kurumu
KeywordsRoot (linguistics)Jet (fluid)PhysicsNuclear physicsParticle physicsPhilosophyMechanicsLinguistics
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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.139 | 0.001 |
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 head0.048
GPT teacher head0.273
Teacher spread0.225 · 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 designNot applicable
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
Citations0
Published2022
Admission routes1
Has abstractno