individual responsibility of the Canadian Nuclear Safety Commission and Atomic Energy of
Bibliographic record
Abstract
and the Canadian Nuclear Safety Commission’s (CNSC) licensing and oversight process. The review, performed by a team from Talisman International, LLC, consisted of document reviews and interviews, and was focused on the renewal of the NRU licence in 2005 and 2006, and the extended outage in late 2007. In November 2005, CNSC renewed the operating licence for the NRU reactor with a licence condition that “all 7 NRU upgrades are fully operational by December 31, 2005. ” In July 2006, the licence was renewed for 63 months, based on “recently completed safety upgrades”. In November 2007, CNSC staff brought to AECL’s attention a discrepancy between NRU documentation and the physical state of the plant. Specifically, two of the main heavy water pumps (MHWPs) were not connected to the hazards qualified Emergency Power Supply (EPS), even though some AECL documents described the upgrades as fully operational. Further investigation led to the following: confirmation from AECL that the connection was not in place; concerns from CNSC staff that operation without the connection was outside the licensing basis, and that the reactor should not operate in such a configuration without
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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.057 | 0.011 |
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".