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Record W7071266629

Search for dark mesons decaying to top and bottom quarks in proton-proton collisions at √s = 13 TeV with the ATLAS detector

2024· article· en· W7071266629 on OpenAlexfundno aff

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaNatural Sciences and Engineering Research Council of CanadaNarodowa Agencja Wymiany AkademickiejAgencia Nacional de Investigación y DesarrolloIstituto Nazionale di Fisica NucleareMax-Planck-GesellschaftKnut och Alice Wallenbergs StiftelseBundesministerium für Wissenschaft, Forschung und WirtschaftU.S. Department of EnergyNational Natural Science Foundation of ChinaVetenskapsrådetGeneralitat ValencianaNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistero dell'Università e della RicercaAustrian Science FundMinisterio de Ciencia e InnovaciónMinisterstvo Školství, Mládeže a TělovýchovyBundesministerium für Bildung und ForschungJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoCentre National de la Recherche ScientifiqueDanmarks GrundforskningsfondCERNDeutsche ForschungsgemeinschaftNational Science FoundationNorges ForskningsrådTRIUMFSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungJavna Agencija za Raziskovalno Dejavnost RSLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMesonPionHadronMuonQuarkAtlas (anatomy)Standard Model (mathematical formulation)Large Hadron Collider
DOInot available

Abstract

fetched live from OpenAlex
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 imitation

Not 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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.266
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designObservational
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
Published2024
Admission routes1
Has abstractno

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