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Record W2154458558 · doi:10.1051/epjconf/20146603083

<sup>25</sup><i>Na</i>and<sup>25</sup><i>Mg</i>fragmentation on<sup>12</sup><i>C</i>at 9.23 MeV per nucleon

2014· article· he· W2154458558 on OpenAlexafffund
P. St-Onge, R. Roy, J. Gauthier, Barton Wallace

Bibliographic record

VenueEPJ Web of Conferences · 2014
Typearticle
Languagehe
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaCompute CanadaTRIUMFUniversité Laval
KeywordsPhysicsNucleonNuclear physicsFragmentation (computing)Beam (structure)Beam energyAtomic physicsIonNuclear reactionHeavy ionRange (aeronautics)Ion beamMaterials science

Abstract

fetched live from OpenAlex

The multidetector HERACLES studies heavy-ion collisions at TRIUMF, with ion beams with an energy range between 8 to 15 MeV per nucleon. Seventy-eight detectors are axially distributed around the beam axis in 6 rings allowing detection of multiple charged fragments from nuclear reactions. Experimental data was collected by HERACLES from a radioactive 25Na beam and a stable 25Mg beam at 9.23 MeV per nucleon on a carbon target. For analysis, we compare experimental data with a hybrid code. Antisymmetrized Molecular Dynamics (AMD) treats the dynamics of colliding systems and GEMINI for the statistical deexcitation of fragments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.271
Teacher spread0.250 · 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 designNot applicable
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

Citations0
Published2014
Admission routes2
Has abstractyes

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