Planning for decommissioning of Ontario Power Generation's nuclear facilities
Bibliographic record
Abstract
Ontario Power Generation owns and operates nuclear generating stations at Pickering and Darlington and has leased Bruce generating stations A and B to Bruce Power (who will return them to OPG once the lease expires). OPG owns and operates interim radioactive waste management facilities on the Bruce site and used fuel storage facilities at Pickering and Bruce sites and plans are underway to design and build a similar facility on the Darlington site by 2007. OPG will decommission all these facilities when they are shutdown permanently. Planning for decommissioning at OPG started in the early 1980's when various options were conceived, subsequently developed and suitable strategies was formulated. OPG's plans for decommissioning the nuclear generating stations are to shutdown and store the stations in a safe storage mode for 30 years, followed by dismantling and site restoration. Plans for decommissioning of OPG's interim radioactive waste management facilities will involve: removal of the stored waste, re-packaging if required and transporting the waste to a long-term facility followed by dismantling the facilities and site restoration. The costs for decommissioning OPG's nuclear facilities are estimated based on the above plans, collected through electricity rates from customers and deposited in a decommissioning fund. This paper examines some of the decommissioning options considered, provides details of OPG's decommissioning strategy, gives cost estimates, and outlines OPG's achievements towards meeting its liabilities and fulfilling the regulatory requirements with respect to decommissioning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".