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Record W613118246

Modelling of Cherenkov light emission from BWR nuclear fuel with missing or substituted rods

2006· article· en· W613118246 on OpenAlexaff
Bo Lindberg, Ane Håkansson, Staffan Jacobsson Svärd, Mats Larsson, Kåre Axell, J.D. Chen, A.F. Gerwing, Dennis Parcey, Rick Kosierb, F. Vinna

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsCanadian Nuclear Safety Commission
Fundersnot available
KeywordsCherenkov radiationRodAttenuationOpticsPhysicsNuclear engineeringNuclear physicsMaterials scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Computer simulations of Cherenkov glow from spent nuclear fuel were carried out. Spent nuclear fuel in storage ponds are verified with the help of the Cherenkov viewing device (CVD) and the Digital Cherenkov viewing device (DCVD). The instruments image the Cherenkov glow generated by gamma ray emissions from spent fuel into the water. An attempt to build a realistic digital model of the DCVD image containing partial-length, missing, and substituted rods was made to see if the effects of the deviations from normal can be predicted. It was concluded that partial-length or missing rods in the model was in good agreement with measured data, but replaced rods in the model showed a weaker attenuation of the Cherenkov glow than the observed DCVD images.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.016
GPT teacher head0.200
Teacher spread0.184 · 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 teacher head, 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

Citations2
Published2006
Admission routes1
Has abstractyes

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