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Record W7094143215

Model-independent search for the presence of new physics in events including <i>H</i> → <i>γγ</i> with √s=13 TeV <i>pp</i> data recorded by the ATLAS detector at the LHC

2023· article· en· W7094143215 on OpenAlexfundno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryNuclear PhysicsDivision of PhysicsInstituto Superior TécnicoDepartment of Physics and Astronomy, University College LondonAgencia Nacional de Promoción Científica y TecnológicaCollege of Engineering, Michigan State UniversityInstitut National de Physique Nucléaire et de Physique des ParticulesStony Brook UniversityAgencia Nacional de Investigación y DesarrolloSorbonne UniversitéUniversidade do MinhoUniversidade Federal do Rio de JaneiroAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniverza v LjubljaniUniversidad de TarapacáUniversité Paris-SaclayUniverzita Palackého v OlomouciHigh Energy Accelerator Research OrganizationRoyal Holloway, University of LondonUniversity of TsukubaAristotle University of ThessalonikiTechnion-Israel Institute of TechnologyUnited Arab Emirates UniversityUniversitetet i OsloUniversidad Autónoma de MadridUniversidade do Estado do Rio de JaneiroUniversity of PittsburghTel Aviv UniversitySimon Fraser UniversityLunds UniversitetMinisterstvo Školství, Mládeže a TělovýchovyOhio State UniversityČeské Vysoké Učení Technické v PrazeNational Natural Science Foundation of ChinaUniversidade de São PauloFundação de Amparo à Pesquisa do Estado de São PauloUniversity of SussexUniversity of PennsylvaniaAustrian Science FundConsejo Nacional de Investigaciones Científicas y TécnicasYork UniversityAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftUniversität SiegenUniversiteit van AmsterdamLouisiana Tech UniversityCERNInstitut "Jožef Stefan"University of California, IrvineNew York University Abu DhabiNatural Sciences and Engineering Research Council of CanadaUniversity of OregonUniversity of TorontoUniversidad Técnica Federico Santa MaríaUniverzita Karlova v PrazeConselho Nacional de Desenvolvimento Científico e TecnológicoMcGill UniversityUniversidad de GranadaKungliga Tekniska HögskolanUniversity of OxfordHigh Energy PhysicsUniversity of OklahomaTRIUMFAcademia SinicaQueen Mary University of LondonUniversidade de LisboaNorthern Illinois UniversityUniversity of WashingtonCentre National de la Recherche ScientifiqueAix-Marseille UniversitéLudwig-Maximilians-Universität MünchenRadboud UniversiteitOklahoma State UniversityDanmarks GrundforskningsfondUniversity College LondonPontificia Universidad Católica de ChileUniversidad Nacional de La PlataMichigan State University
KeywordsLarge Hadron ColliderHiggs bosonAtlas (anatomy)Atlas detectorDetectorPhysics beyond the Standard ModelHadronStandard 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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.271
Teacher spread0.224 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractno

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