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2022· article· lv· W4225318310 on OpenAlexafffund
Tamas Budner, M. Friedman, C. Wrede, B. A. Brown, J. José, D. Pérez–Loureiro, L. J. Sun, J. Surbrook, Y. Ayyad, D. W. Bardayan, K. Y. Chae, A. A. Chen, K. A. Chipps, M. Cortesi, Brent Glassman, M. R. Hall, Molly Janasik, J. F. Liang, P. D. O’Malley, E. Pollacco, A. Psaltis, Jordan Stomps, T. Wheeler

Bibliographic record

VenuePhysical Review Letters · 2022
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaHorizon 2020 Framework ProgrammeOffice of ScienceAgència de Gestió d'Ajuts Universitaris i de RecercaNational Science FoundationMinisterio de Economía y CompetitividadGeneralitat de CatalunyaEuropean Cooperation in Science and TechnologyNational Research Foundation of KoreaU.S. Department of Energy
KeywordsPhysicsNucleosynthesisProtonBranching fractionNuclideNeonAnalytical Chemistry (journal)Nuclear physicsAtomic physicsNuclear reactionChemistryArgon

Abstract

fetched live from OpenAlex

The $^{30}\mathrm{P}(p,\ensuremath{\gamma})^{31}\mathrm{S}$ reaction plays an important role in understanding the nucleosynthesis of $A\ensuremath{\ge}30$ nuclides in oxygen-neon novae. The Gaseous Detector with Germanium Tagging was used to measure $^{31}\mathrm{Cl}$ $\ensuremath{\beta}$-delayed proton decay through the key ${J}^{\ensuremath{\pi}}=3/{2}^{+}$, 260-keV resonance. The intensity ${I}_{\ensuremath{\beta}p}^{260}=8.{3}_{\ensuremath{-}0.9}^{+1.2}\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}6}$ represents the weakest $\ensuremath{\beta}$-delayed, charged-particle emission ever measured below 400 keV, resulting in a proton branching ratio of ${\mathrm{\ensuremath{\Gamma}}}_{p}/\mathrm{\ensuremath{\Gamma}}=2.{5}_{\ensuremath{-}0.3}^{+0.4}\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}4}$. By combining this measurement with shell-model calculations for ${\mathrm{\ensuremath{\Gamma}}}_{\ensuremath{\gamma}}$ and past work on other resonances, the total $^{30}\mathrm{P}(p,\ensuremath{\gamma})^{31}\mathrm{S}$ rate has been determined with reduced uncertainty. The new rate has been used in hydrodynamic simulations to model the composition of nova ejecta, leading to a concrete prediction of $^{30}\mathrm{Si}$:$^{28}\mathrm{Si}$ excesses in presolar nova grains and the calibration of nuclear thermometers.

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)0.003
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.220
Threshold uncertainty score0.735

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0090.011
Open science0.0040.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.2200.171

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 head0.254
Teacher spread0.232 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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