MétaCan
Menu
Back to cohort
Record W6964840491 · doi:10.3204/phppubdb-6853

Beauty photoproduction using decays into electrons at HERA

2008· article· en· W6964840491 on OpenAlexfundno aff

Bibliographic record

VenueDESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
FundersHigh Energy PhysicsNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaLomonosov Moscow State UniversityMinistério da Ciência, Tecnologia e InovaçãoFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureBelgian Federal Science Policy OfficeDeutsches Elektronen-SynchrotronNational Natural Science Foundation of ChinaIsrael Science FoundationRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyAkademi Sains MalaysiaScience and Technology Facilities CouncilStrongUniversity College LondonBundesministerium für Bildung und ForschungKorea Science and Engineering FoundationFonds De La Recherche Scientifique - FNRSU.S. Department of EnergyNational Science Foundation
KeywordsHERAZEUS (particle detector)Charm (quantum number)LuminosityElectronMonte Carlo methodQuarkDetector

Abstract

fetched live from OpenAlex

Photoproduction of beauty quarks in events with two jets and an electron associated with one of the jets has been studied with the ZEUS detector at HERA using an integrated luminosity of 120pb^-1. The fractions of events containing b quarks, and also of events containing c quarks, were extracted from a likelihood fit using variables sensitive to electron identification as well as to semileptonic decays. Total and differential cross sections for beauty and charm production were measured and compared with next-to-leading-order QCD calculations and Monte Carlo models.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.231
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)Same topicForest Ecology and Biodiversity StudiesFrench-language works237,207