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Record W7133367133

The performance of missing transverse momentum reconstruction and its significance with the ATLAS detector using 140 fb-1 of  SQUARE ROOTs = 13 TeV  pp collisions

2025· article· en· W7133367133 on OpenAlexfundno aff
G. Aad, E. Aakvaag, B. Abbott, K. Abeling, N. J. Abicht, S. Abdelhameed, S. H. Abidi, A. Aboulhorma, H. Abramowicz, H. Abreu, Peter Berta, Marek Biroš, Chainika Chauhan, Tomáš Davídek, Martin Divíšek, Jiří Dolejší, Zdeněk Doležal, Jana Faltová, Pavol Federič, Peter Kodyš, Martin Krivoš, Rupert Leitner, Gabriela Karkošová Martinovicová, Jan Matoušek, Kristina Mihule, Agnieszka Ewa Ogrodnik, Franciszek Jerzy Monique Pauwels, Tadeáš Petrů, Vojtěch Pleskot, Stanislav Poláček, Pavel Řezníček, Martin Rybář, Daniel Scheirich, Martin Spousta, Martin Sýkora, Tomáš Sýkora, Petr Tas, Denys Timoshyn, Sarka Todorova, Vít Vorobel, Petr Baroň

Bibliographic record

VenueCU Research Publications Repository · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersCHIST-ERAH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungScience and Technology Facilities CouncilVetenskapsrådetHorizon 2020 Framework ProgrammeNarodowa Agencja Wymiany AkademickiejBanco Bilbao Vizcaya ArgentariaEuropean Regional Development FundBritish Columbia Knowledge Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueKnut och Alice Wallenbergs StiftelseIsrael Science FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat de CatalunyaGeneralitat ValencianaAgencia Nacional de Investigación y DesarrolloUK Research and InnovationIstituto Nazionale di Fisica NucleareMinistero dell'Università e della RicercaAustrian Science FundNational Science and Technology CouncilMinisterstvo Školství, Mládeže a TělovýchovyU.S. Department of EnergyNational Natural Science Foundation of ChinaEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloJavna Agencija za Raziskovalno Dejavnost RSDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheNational Science FoundationEuropean Social FundRoyal SocietyCentre National pour la Recherche Scientifique et TechniqueH2020 European Research CouncilNorges ForskningsrådFundación BBVABaden-Württemberg StiftungAlexander von Humboldt-StiftungTRIUMFDanmarks GrundforskningsfondTürkiye Enerji, Nükleer ve Maden Araştırma KurumuCanarieCERNCentres de Recerca de CatalunyaMinisterio de Ciencia e Innovación
KeywordsDetectorLarge Hadron ColliderAtlas (anatomy)Atlas detectorTransverse plane
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)0.004
metaresearch head score (Gemma)0.008
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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
Published2025
Admission routes1
Has abstractno

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