ICONE23-1198 FUELLING STUDY USING BURNABLE NEUTRON ABSORBERS : MITIGATING FUELLING TRANSIENTS AND IMPROVING POWER COMPLIANCE MARGIN DURING REFUELLING
Bibliographic record
Abstract
A fuelling study for CANDU reactors is conducted using natural uranium (NU) fuels doped with trace amounts of burnable neutron absorbers. The burnable absorbers of interest include gadolinium oxide (Gd_2O_3) and europium oxide (Eu_2O_3). The study incorporates fuel-lattice simulations as well as refuelling and core-following simulations to quantify the impact in the in-core behavior of the fuel. The fuel lattice simulations were conducted using the WIMS-AECL code while refuelling and core-following simulations were conducted using the Reactor Fuelling Simulation Program (RFSP). This paper presents the improvements in the safety margins gained by the use of burnable absorbers during normal operation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".