FOURTH AMENDING AGREEMENT TO THE BRUCE POWER REFURBISHMENT IMPLEMENTATION AGREEMENT Between
Bibliographic record
Abstract
This Fourth Amending Agreement is dated as of the 3rd day of April, 2013, between Bruce Power L.P., a limited partnership created under the laws of Ontario and as represented by its general partner, Bruce Power Inc., Bruce Power A L.P., a limited partnership created under the laws of Ontario and as represented by one of its general partners, Bruce Power A Inc., and the Ontario Power Authority, a corporation without share capital existing under the Electricity Act. WHEREAS the Parties entered into the Bruce Power Refurbishment Implementation Agreement dated as of the 17th day of October, 2005, as amended by the First Amending Agreement dated as of the 28th day of August, 2007, as amended by the Second Amending Agreement dated as of the 6th day of July, 2009, and as further amended by the Third Amending Agreement dated as of the 3rd day of February, 2011 (the agreement as so amended, the "BPRIA"); AND WHEREAS the Parties have agreed to further amend the BPRIA as set forth herein. NOW THEREFORE, in consideration of the mutual agreements set forth herein and other good and valuable consideration, the receipt and sufficiency of which are hereby acknowledged, and intending to be legally bound, the Parties agree as follows:
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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 | 0.017 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.020 | 0.014 |
| Insufficient payload (model declined to judge) | 0.058 | 0.040 |
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".