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Record W2252376372 · doi:10.1115/icone18-30239

Measurement of Gamma Radiation Profile Inside a CANDU® Reactor

2010· article· en· W2252376372 on OpenAlexaff
Shijing Yue, Bob H. Smith, G. Jonkmans, B. Sur, D. Comeau, David B. Taylor

Bibliographic record

Venue18th International Conference on Nuclear Engineering: Volume 1 · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsNuclear engineeringInstrumentation (computer programming)RadiationControl rodResearch reactorShut downMaterials scienceRodNuclear reactor coreMeasuring instrumentCore (optical fiber)OpticsEnvironmental sciencePhysicsComputer scienceNuclear physicsNeutronEngineering

Abstract

fetched live from OpenAlex

An instrument based on a small and inexpensive silicon diode was developed and used to measure, for the first time, the gamma radiation exposure rate within a start-up instrumentation guide tube in a shut down CANDU® reactor undergoing refurbishment. The shape of the measured profile agreed with the expectation; however, the maximum measured exposure rate was about four times higher than the calculation. Two adjuster rods located above the core and adjacent to the guide tube, could be clearly identified from the features of the radiation profile measurement. These measurements provide confirmatory information for the creation of safe and effective radiation work plans and selection of appropriate in-core instrumentation. This technology can be used to accurately measure the positions of irradiated reactor components, such as adjuster rods, pressure tubes, calandria tubes, reactivity control absorbers and other sources of gamma radiation inside a shut down reactor.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.237
Teacher spread0.213 · 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 designObservational
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

Citations1
Published2010
Admission routes1
Has abstractyes

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Same venue18th International Conference on Nuclear Engineering: Volume 1Same topicGraphite, nuclear technology, radiation studiesFrench-language works237,207