CANDU FIRE LOAD DENSITIES IN CANADIAN NUCLEAR PLANTS
Bibliographic record
Abstract
A fuel survey was carried out at all operating CANDU reactors in Canada in 5 sites (Bruce A, Bruce B, Darlington, Pickering, and Point Lepreau). The survey used the National Fire Protection Association 557 combination method for the fire zones that contain fire safe shutdown analysis equipment. A fire zone group list for the sites was developed to combine fire zones with similar functions; 38 fire zone groups were produced from this exercise. The results of the survey show that the average fuel load density for all 1230 fire zones is 170.1 MJ/m2, and the average fuel load is 79 183 MJ. The maximum fuel load density is 1319 MJ/m2, and the maximum fuel load is 2 785 404 MJ. High-energy arcing faults risk was found in 254 fire zones out of the 1230 fire zones. Electric fault is the highest ignition source risk present in all 1230 fire zones.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".