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Record W1632068143 · doi:10.22323/1.028.0160

25Al+p Elastic Scattering with CRIB

2010· article· en· W1632068143 on OpenAlexaff
A. A. Chen, S. Kubono, Hajime Yamaguchi, J. J. He, L. H. Khiem, G. Amádio, Hirohisa Fujikawa, M. Nııkura, Y. Wakabayashi, T. Teranishi, S. Nishimura, Y. Togano, A. Odahara, J. Y. Moon, Y. K. Kwon, S. Cherubini, R. G. Pizzone, M. La Cognata

Bibliographic record

VenueProceedings of International Symposium on Nuclear Astrophysics - Nuclei in the Cosmos - IX — PoS(NIC-IX) · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsInstitute of Particle PhysicsMcMaster University
Fundersnot available
KeywordsPhysicsEngineering physicsLibrary scienceNuclear physicsComputer science

Abstract

fetched live from OpenAlex

The present rate of the 25 Al(p,γ) 26 Si reaction suffers from significant uncertainties due to the lack of relevant structure information in the compound nucleus 26 Si.An 25 Al+p elastic-scattering experiment in inverse kinematics was performed using the CRIB facility at the CNS at the University of Tokyo, Japan, to try and improve current understanding.The 2 H( 24 Mg,n) 25 Al reaction was used to produce a 7.5 MeV/A 25 Al radioactive beam with intensities of ∼ 10 6 pps at the secondary CH 2 target position.Protons were detected in silicon E∆E telescopes and a center-ofmass energy range of 3 MeV was scanned, reaching up to about 8.5 MeV in excitation energy in 26 Si.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.005

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 head0.005
GPT teacher head0.225
Teacher spread0.220 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

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