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2014· article· lv· W2114979948 on OpenAlexaff
E. Uberseder, T. Adachi, T. Aumann, S. Beceiro-Novo, K. Boretzky, C. Caesar, I. Dillmann, O. Ershova, A. Estradé, F. Farinon, J. Hagdahl, T. Heftrich, M. Heil, M. Heine, M. Holl, A. Ignatov, H. Johansson, N. Kalantar, C. Langer, T. Le Bleis, Yu. A. Litvinov, J. Marganiec, A. Movsesyan, M. A. Najafi, T. Nilsson, C. Nociforo, V. Panin, S. Piétri, R. Plag, A. Prochazka, G. Rastrepina, R. Reifarth, V. Ricciardi, C. Rigollet, D. M. Rossi, D. Savran, H. Simon, K. Sonnabend, B. Štreicher, S. Terashima, R. Thies, Y. Togano, V. Volkov, F. Wamers, H. Weick, M. Weigand, M. Wiescher, K. Wimmer, N. Winckler, P. J. Woods

Bibliographic record

VenuePhysical Review Letters · 2014
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsSaint Mary's University
FundersTechnische Universität DarmstadtEmberi Eroforrások MinisztériumaBundesministerium für Bildung und ForschungNational Science Foundation
KeywordsNucleosynthesisPhysicsDissociation (chemistry)Nuclear reactionNuclear physicsPhysical chemistryChemistry

Abstract

fetched live from OpenAlex

The radionuclide $^{60}\mathrm{Fe}$ has been of great interest to the nuclear astrophysics community for over a decade. An initial discrepancy between the observed and modeled Galactic $^{60}\mathrm{Fe}/^{26}\mathrm{Al}$ ratio motivated numerous studies focused on the nucleosynthesis of these two isotopes, though the cross section of the primary astrophysical production reaction, $^{59}\mathrm{Fe}(n,\ensuremath{\gamma})^{60}\mathrm{Fe}$, has remained purely theoretical. The present work offers a first experimental constraint on the $^{59}\mathrm{Fe}(n,\ensuremath{\gamma})^{60}\mathrm{Fe}$ cross section at astrophysical energies, obtained indirectly via Coulomb dissociation, and demonstrates that the theoretical reaction rates used in present stellar models are not highly erroneous.

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)0.006
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.417
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.033
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0090.010
Open science0.0050.007
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.4170.296

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 head0.021
GPT teacher head0.262
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.

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

Citations21
Published2014
Admission routes1
Has abstractyes

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