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Record W2601427297 · doi:10.1103/physrevc.95.034322

Lifetimes in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Te</mml:mi><mml:mprescripts/><mml:none/><mml:mn>124</mml:mn></mml:mmultiscripts></mml:math>: Examining critical-point symmetry in the Te nuclei

2017· article· lv· W2601427297 on OpenAlexaff
S. F. Hicks, J. R. Vanhoy, P. G. Burkett, Brian Champine, S. J. Etzkorn, P. E. Garrett, S. W. Yates, M. Yeh

Bibliographic record

VenuePhysical review. C · 2017
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Guelph
FundersU.S. Department of EnergyNational Nuclear Security AdministrationNational Science Foundation
KeywordsPhysicsMultipole expansionInelastic neutron scatteringExcitationSpinsNeutronAtomic physicsCondensed matter physicsNeutron scatteringNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The Doppler-shift attenuation method following inelastic neutron scattering was used to determine the lifetimes of nuclear levels to 3.3-MeV excitation in $\phantom{\rule{0.16em}{0ex}}^{124}\mathrm{Te}$. Level energies and spins, $\ensuremath{\gamma}$-ray energies and branching ratios, and multipole-mixing ratios were deduced from measured $\ensuremath{\gamma}$-ray angular distributions at incident neutron energies of 2.40 and 3.30 MeV, $\ensuremath{\gamma}$-ray excitation functions, and $\ensuremath{\gamma}\ensuremath{\gamma}$ coincidence measurements. The newly obtained reduced transition probabilities and level energies for $\phantom{\rule{0.16em}{0ex}}^{124}\mathrm{Te}$ were compared to critical-point symmetry model predictions. The $E(5)$ and ${\ensuremath{\beta}}^{4}$ potential critical-point symmetries were also investigated in $\phantom{\rule{0.16em}{0ex}}^{122}\mathrm{Te}$ and $\phantom{\rule{0.16em}{0ex}}^{126}\mathrm{Te}$.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.004

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 head0.040
GPT teacher head0.316
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

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

Citations20
Published2017
Admission routes1
Has abstractyes

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