Record W7018169522

Combined measurement of the Higgs Boson Mass in pp collisions at √s=7 and 8 TeV with the ATLAS and CMS experiments

2015· article· en· W7018169522 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2015

Typearticle

Languageen

FieldPhysics and Astronomy

TopicParticle physics theoretical and experimental studies

Canadian institutionsnot available

FundersInstitut National de Physique Nucléaire et de Physique des ParticulesSecretaría de Estado de Investigación, Desarrollo e InnovaciónJapan Society for the Promotion of ScienceNational Institutes of HealthBoard of the Swiss Federal Institutes of TechnologyDepartment of Science and Technology, Ministry of Science and Technology, IndiaH. Lundbeck A/SPakistan Atomic Energy CommissionCentre National pour la Recherche Scientifique et TechniqueGeorgian National Science FoundationEuropean Regional Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueMinistry of Education, IndiaTürkiye Bilimsel ve Teknolojik Araştırma KurumuIsrael Science FoundationComisión Nacional de Investigación Científica y TecnológicaGoddard Space Flight CenterTürkiye Atom Enerjisi KurumuJoint Institute for Nuclear ResearchInstitute for the Promotion of Teaching Science and TechnologyNational Academy of Sciences of UkraineLundbeckfondenMinistry of Science, ICT and Future PlanningHungarian Scientific Research FundNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungMinisterio de Economía y CompetitividadMinistry of Education, Culture, Sports, Science and TechnologyDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekJohns Hopkins UniversityConsejo Nacional de Ciencia y TecnologíaEidgenössische Technische Hochschule ZürichRussian Foundation for Basic ResearchState Fund for Fundamental Research of UkraineNational Science CouncilFundação para a Ciência e a TecnologiaUniversidad Autónoma de San Luis PotosíIsraeli Centers for Research ExcellenceU.S. Department of EnergyNational Science and Technology Development AgencyNational Natural Science Foundation of ChinaNational Science FoundationScience Foundation IrelandGeneral Secretariat for Research and TechnologyEuropean CommissionLeverhulme TrustJavna Agencija za Raziskovalno Dejavnost RSScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Ministerstwo Edukacji i NaukiCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalCERNDanmarks GrundforskningsfondAlexander von Humboldt-Stiftung

KeywordsNucleofectionGestational periodTSG101HemopericardiumDysgeusiaHyporeflexiaLiquationTriacetinFusible alloy

DOInot available

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002

metaresearch head score (Gemma)0.002

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 score0.004

Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.002	0.002
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.004	0.004
Science and technology studies	0.001	0.001
Scholarly communication	0.002	0.001
Open science	0.001	0.003
Research integrity	0.001	0.001
Insufficient payload (model declined to judge)	0.003	0.001

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 head0.026

GPT teacher head0.218

Teacher spread0.192 · 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

Published2015

Admission routes1

Has abstractyes

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