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<i>Ab Initio</i> Strategy for Taming the Nuclear-Structure Dependence of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>V</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>u</mml:mi> <mml:mi>d</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> Extractions: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mmultiscripts> <mml:mrow> <mml:mi mathvariant="normal">C</mml:mi> </mml:mrow> <mml:mprescripts/> <mml:none/> <mml:mrow> <mml:mn>10</mml:mn> </mml:mrow> </mml:mmultiscripts> <mml:mo stretchy="false">→</mml:mo> <mml:mmultiscripts> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> <mml:mprescripts/> <mml:none/> <mml:mrow> <mml:mn>10</mml:mn> </mml:mrow> </mml:mmultiscripts> </mml:mrow> </mml:math> Superallowed Transition

2025· article· lv· W4406002204 on OpenAlexafffund
Michael Gennari, M. Drissi, Mikhail Gorchtein, P. Navrátil, Chien-Yeah Seng

Bibliographic record

VenuePhysical Review Letters · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Victoria
FundersOak Ridge National LaboratoryNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaDeutsche ForschungsgemeinschaftHorizon 2020 Framework ProgrammeOffice of ScienceU.S. Department of Energy
KeywordsPhysicsAb initioQuantum mechanics

Abstract

fetched live from OpenAlex

We report the first ab initio calculation of the nuclear-structure-dependent radiative correction ${\ensuremath{\delta}}_{\mathrm{NS}}$ to the $^{10}\mathrm{C}\ensuremath{\rightarrow}^{10}\mathrm{B}$ superallowed transition, computed with the no-core shell model and chiral effective field theory. We obtain ${\ensuremath{\delta}}_{\mathrm{NS}}=\ensuremath{-}0.422(29{)}_{\mathrm{nuc}}(12{)}_{n,\mathrm{el}}$ with a 1.6-times reduction in the total uncertainty when compared to the current literature estimate based on the shell model and Fermi gas picture. This Letter paves the way for a precise determination of ${V}_{ud}$ from superallowed beta decays within a systematically improvable framework.

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.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0950.042

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 head0.022
GPT teacher head0.263
Teacher spread0.241 · 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 designTheoretical or conceptual
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

Citations16
Published2025
Admission routes2
Has abstractyes

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