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$α_s$ in 2016 from the (revised) ALEPH data for $τ$ decay

2017· article· en· 0 citations· W2799334418 on OpenAlex· 10.22323/1.282.0620

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Theoretical or conceptualConsensus signal: Theoretical or conceptual
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.187
Threshold uncertainty score
0.729
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.067
GPT teacher head0.325
Teacher spread
0.258 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

We summarize a comparison of the two strategies which are currently available in the literature for determining the value of s (m ). We will refer to these as the truncated Operator Product Expansion model and the Duality Violation model. After describing the main features of both approaches, we explain why the former fails to pass crucial tests. The latter, on the other hand, passes all the tests known up to date and, therefore, should be currently considered the only reliable method.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016)
Topic
Particle physics theoretical and experimental studies
Field
Physics and Astronomy
Canadian institutions
York University
Funders
Natural Sciences and Engineering Research Council of CanadaOffice of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoHigh Energy PhysicsFundação de Amparo à Pesquisa do Estado de São PauloU.S. Department of Energy
Keywords
AlephOperator (biology)Product (mathematics)Computer scienceValue (mathematics)Duality (order theory)PhysicsMathematicsParticle physicsDiscrete mathematicsMachine learning
Has abstract in OpenAlex
yes