SAFETY ANALYSIS OF LOSS OF COOLANT ACCIDENT EVENTS FOR THE CANADIAN SUPERCRITICAL WATER-COOLED REACTOR
Bibliographic record
Abstract
Analyses of the safety system response to postulated loss-of-coolant-accident (LOCA) events were performed using the SCTRAN safety analysis computer code for the Canadian supercritical water-cooled reactor (SCWR) concept. These analyses covered both the cold-leg break and hot-leg break LOCA scenarios. All relevant passive safety systems, such as automatic depressurization system, accumulator, and gravity-driven cooling system, were included in the simulation. The simulation for the cold-leg break LOCA showed 2 cladding temperature peaks over the duration of 100 seconds. Over the range of break sizes (i.e., 25%, 50%, and 100%) investigated in this study, the first peak cladding temperature predicted for the 25% break size is higher than that for the 100% break size, but the second peak cladding temperature predicted for the 25% break size is lower than that for the 100% break size. Simulations of the hot-leg break LOCA have resulted in only 1 cladding temperature peak, which was not significantly affected ...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".