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Record W7048397094

Limits on anomalous trilinear gauge couplings from WW -> e(+)e(-), WW -> e(+/-)mu(-/+), and WW ->mu(+)mu(-) events from pp collisions at root s=1.96 TeV

2006· article· en· W7048397094 on OpenAlexfundno aff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaFundação para o Desenvolvimento da UNESPBundesministerium für Bildung und ForschungCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFederal Agency for Science and InnovationDeutsche ForschungsgemeinschaftSecretaría de Ciencia y Técnica, Universidad de Buenos AiresNational Science FoundationScience Foundation IrelandConselho Nacional de Desenvolvimento Científico e TecnológicoFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroKorea Science and Engineering FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)FermilabConsejo Nacional de Investigaciones Científicas y TécnicasFundação de Amparo à Pesquisa do Estado de São PauloU.S. Department of Energy
KeywordsGauge (firearms)Root (linguistics)Limit (mathematics)Gauge theoryEvent (particle physics)
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)0.005
metaresearch head score (Gemma)0.012
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0050.005
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.008
GPT teacher head0.214
Teacher spread0.205 · 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
Published2006
Admission routes1
Has abstractno

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