ACR-1000: Technical Features and Development Status
Bibliographic record
Abstract
Atomic Energy of Canada Limited (AECL) has adapted the successful features of CANDU reactors to establish the Generation III+ Advanced CANDU Reactor (ACR ) technology. The ACR-1000 nuclear power plant applies this to an evolutionary product, starting with the strong base of CANDU reactor technology, coupled with thoroughly demonstrated innovative features to enhance economics, safety, operability and maintainability. This evolutionary strategy ensures that AECL's innovations are based on current experience, and keeps development programs focused on one reactor technology. This focus reduces risks, development costs, and product development cycle times. It also assures utilities that CANDU technology will not become obsolete or unsupported, and will continue to be relevant and add value now and for the foreseeable future. The ACR-1000 uses well-established, fundamental, CANDU design elements: core design with horizontal pressure tubes; simple efficient fuel bundle design; on-power refuelling and a separate low-pressure, low-temperature heavy-water moderator providing an inherent emergency heat sink. It includes adaptations for a light-water cooled, slightly-enriched uranium reactor, including more compact core configuration and higher steam pressure for greater thermodynamic efficiency. The ACR-1000 benefits from AECL's continuous-improvement approach to design, which has enabled the traditional CANDU 6 product to compile an exceptional track record of both on-time, on budget product delivery, and also reliable, high capacity-factor operation. ACR-1000 development is built around a comprehensive basic engineering program. This links the design with licensing, and with the development and demonstration of innovative features. The program emphasizes the development of the ACR-1000 from the viewpoint of the customer - the power plant operator.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.048 |
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".