MétaCan
Menu
Back to cohort
Record W7052604837

Search for a heavy charged Higgs boson decaying into a W boson and a Higgs boson in final states with leptons and b -jets in s = 13 TeV pp collisions with the ATLAS detector

2024· article· en· W7052604837 on OpenAlexfundno aff

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2024
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
FundersH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónAgencia Nacional de Promoción Científica y TecnológicaMinistero dell'Università e della RicercaAgencia Nacional de Investigación y DesarrolloNarodowa Agencja Wymiany AkademickiejUniversidade do MinhoUniversidad de TarapacáUniversité Paris-SaclayUniverzita Palackého v OlomouciForskningsrådet om Hälsa, Arbetsliv och VälfärdUniversidad de GranadaJapan Society for the Promotion of ScienceUniversidade de CoimbraH2020 European Research CouncilNorges ForskningsrådUniversitetet i OsloKnut och Alice Wallenbergs StiftelseAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat ValencianaGeneralitat de CatalunyaAustrian Science FundUniversity of PennsylvaniaGrantová Agentura České RepublikyNatural Sciences and Engineering Research Council of CanadaUniversity of OregonMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNational Science and Technology CouncilMinisterstvo Školství, Mládeže a TělovýchovyLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloDanmarks GrundforskningsfondInstituto Superior TécnicoDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversidade de LisboaMinistry of Science and Technology of the People's Republic of ChinaAgence Nationale de la RechercheHorizon 2020 Framework ProgrammeVetenskapsrådetOklahoma State UniversityNational Science FoundationSorbonne UniversitéIstituto Nazionale di Fisica NucleareUK Research and InnovationCentres de Recerca de CatalunyaUniverzita Karlova v PrazeConselho Nacional de Desenvolvimento Científico e TecnológicoMinisterstwo Edukacji i NaukiCERNScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversidad Técnica Federico Santa MaríaCanarieEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyUniversity of OxfordAlexander von Humboldt-StiftungUniversity of OklahomaTRIUMFPontificia Universidad Católica de ChileBaden-Württemberg StiftungFundação para a Ciência e a TecnologiaUniversity of WashingtonUniversity of PittsburghTürkiye Enerji, Nükleer ve Maden Araştırma KurumuFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroU.S. Department of EnergyCarl Tryggers Stiftelse för Vetenskaplig ForskningČeské Vysoké Učení Technické v PrazeOhio State UniversityNational Natural Science Foundation of China
KeywordsHiggs bosonLarge Hadron ColliderBosonLeptonBranching fractionInvariant massTop quarkStandard Model (mathematical formulation)
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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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

Explore more

Same venueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York)Same topicElectrostatic Discharge in ElectronicsFrench-language works237,207