Dose assessment of a fresh 43-element CANFLEX-ACR fuel bundle and fresh 37-element fuel bundle
Bibliographic record
Abstract
Fresh fuel bundles are handled frequently during fabrication and on-site during inspection and normal CANDU new fuel loading. However, little information is available on the effective dose rates from gamma, bremsstrahlung and neutron radiation and the equivalent dose rates to skin. In this study, effective dose rates are calculated on the surface of and at distances of 30.48 cm and 1 m from the surface of each fresh fuel bundle using Monte Carlo N-Particle, version 5. The equivalent dose rates to skin are calculated to a tissue depth of 200 mg cm(-2). The effective dose rates calculated on the surface of the 37-element and 43-element fresh fuel bundles were 29.3 and 29.1 microSv h(-1), respectively. The equivalent dose rate to skin ranged from approximately 270 to 300 microSv h(-1) at a tissue depth of 7 mg cm(-2) from each bundle. The calculated dose rates agree well with measured dose rates and values reported in the literature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".