An overview of the Canadian nuclear waste corrosion program
Bibliographic record
Abstract
Abstract Over the past decade, the Nuclear Waste Management Organization has conducted a thorough proof test plan (PTP) to evaluate their novel copper‐coated used fuel container and bentonite buffer box underground emplacement concept for use in a deep geological repository (DGR). This PTP has included the development of new technologies as well as feasibility studies related to engineered barrier production, underground emplacement, and safety assessment of the technologies within a DGR. Although the PTP was winding down in 2022, many work packages continue, particularly those associated with the evaluation of the corrosion performance of the used fuel container, the Nuclear Waste Management Organization (NWMO)'s copper corrosion allowance. This work evaluates the extent of corrosion that may result from oxic‐, radiolytic‐, anoxic‐, and sulfide‐induced corrosion which may occur in the Canadian DGR. Particular attention is paid to assessing the potential for localized corrosion phenomena across each project. This article provides an overview of these work packages which support a lifetime corrosion expectation of 270 µm and an extreme upper bound of corrosion of 1204 µm over one million years.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".