Short-term thermal modelling of a conceptual deep geological repository in Canada
Bibliographic record
Abstract
Canada has decided on long-term containment and isolation of used fuel within a deep geological repository. The deep geological repository will be constructed at a depth of roughly 500 m and consist of a network of placement rooms at depth and surface facilities to support the operation of the repository. An engineered barrier system will fill the area between used fuel containers and the geosphere to isolate the used fuel containers from the environment. The engineered barriers will be subjected to competing gradients of thermal energy driving moisture away from the containers and hydraulic gradients driving moisture into the repository. A key thermal design criterion is for the container surface temperature to be less than 100°C. Recently, thermal properties were defined for the barrier materials in the placement room. The effect of barrier material saturation on dissipation of thermal energy for a generic Canadian placement room is examined for upper- and lower-bound scenarios, which are believed to bound the short-term thermal response of the repository under hydraulically static conditions. The results show that the 100°C criterion is met if continuity is maintained between the container and the rock.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".