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Record W7071157444

Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb−1 of pp collision data at √s = 13 TeV with the ATLAS detector

2024· article· en· W7071157444 on OpenAlexfundno aff

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersNuclear PhysicsFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceDeutsches Elektronen-SynchrotronShanghai Key Laboratory for Particle Physics and CosmologyUniversité Hassan II de CasablancaUniversité Cadi AyyadNarodowa Agencja Wymiany AkademickiejState Key Laboratory of Particle Detection and ElectronicsAgencia Nacional de Investigación y DesarrolloStockholms UniversitetUniversität InnsbruckUniversity of Science and Technology of ChinaUniversidade Federal do Rio de JaneiroUniversidade Federal de Juiz de ForaUniversité Paris-SaclayUniversidade do Estado do Rio de JaneiroHigh Energy Accelerator Research OrganizationInstitut National de Physique Nucléaire et de Physique des ParticulesUniversité de GenèveUniversité de FribourgUniversidade de São PauloNational Tsing Hua UniversityShanghai Jiao Tong UniversityMinisterio de Ciencia e InnovaciónUniversità degli Studi di PaviaJustus Liebig Universität GießenUniversité de ToulouseIsrael Science FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftCERNZhengzhou UniversityGeneralitat de CatalunyaGeneralitat ValencianaAustrian Science FundConsejo Nacional de Investigaciones Científicas y TécnicasTechnische Universität DresdenMinistry of Education, IndiaUniversidad Nacional de La PlataUniversità degli Studi di TrentoScottish Universities Physics AllianceNational Natural Science Foundation of ChinaLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversità della CalabriaHarvard UniversityInstitut "Jožef Stefan"Natural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyTechnische Universität DortmundAbdus Salam International Centre for Theoretical PhysicsJavna Agencija za Raziskovalno Dejavnost RSUniversity of GlasgowUniversité Grenoble AlpesMinisterstvo Školství, Mládeže a TělovýchovyIowa State UniversitySouthern Methodist UniversityAgencia Nacional de Promoción Científica y TecnológicaGeorg-August-Universität GöttingenCentres de Recerca de CatalunyaAlbert-Ludwigs-Universität FreiburgCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyNational Science FoundationUniversità degli Studi di Napoli Federico IIAlexander von Humboldt-StiftungTRIUMFShandong UniversitySapienza Università di RomaUniversité Mohammed VI PolytechniqueUniversità di PisaDanmarks GrundforskningsfondUniversität Heidelberg
KeywordsNeutralinoTop quarkLarge Hadron ColliderStandard Model (mathematical formulation)Pair productionATLAS experimentLeptonMuonDark matterAtlas (anatomy)
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 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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.280
Teacher spread0.232 · 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
Published2024
Admission routes1
Has abstractno

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