Approach to Regulatory Pre-Licensing SMR Vendor Design Review
Bibliographic record
Abstract
The Canadian Nuclear Safety Commission (CNSC) has recently completed the first phase of the pre-licensing vendor design review (VDR) for the SMR-160 small modular reactor (SMR) designed by Holtec International (USA). This event is an example of early involvement of the regulatory authority into review of the safety assessment for SMR design developed in compliance with standards and rules of another country. This example deserves a detailed analysis considering that the introduction of SMR technology is potentially attractive for Ukraine and there is national interest in this area. The paper presents an overview of the regulatory framework governing the pre-licensing VDR by CNSC: objective, initial conditions, main stages, technical content and general expected results of this process. According to the first phase of the review performed for the SMR-160 design, information on the main aspects addressed for each technical area and the main review findings are provided. Since the implementation of relevant advanced practices is reasonable and relevant, the paper proposes to consider the development and implementation of regulatory framework for the national nuclear regulatory authority to perform further pre-licensing reviews of designs using the latest foreign technologies.
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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 | 0.156 | 0.150 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".