Simultaneous dissolution of UO_2 and ZrO_2 by molten zircaloy. New experiments and modelling
Bibliographic record
Abstract
This report summarises the Tasks WP2.1 and WP7.3 of the COLOSS project (core loss during severe accident) within the 5"t"h Framework Programme of EU. The experimental task WP2.1 was performed during 2000-2002 at the RIAR (Dimitrovgrad, Russia) in collaboration with Forschungszentrum Karlsruhe. Whereas RIAR acted as a subcontractor to JRC/IE (Joint Research Centre, Petten). The analytical task WP7.3 was performed at the Nuclear Safety Institute (IBRAE) of Russian Academy of Sciences (RAS), with IBRAE acting as a subcontractor to JRC. The main objective of the task WP2.1 was to extend the experimental work packages on dissolution of UO_2 and ZrO_2 by molten Zry, started within the framework of the CIT project (4"t"h FP of EU) at Forschungszentrum Karlsruhe and AECL (Canada). The main objective of the task WP7.3 was to develop a model for the code SVECHA (mechanistic code to study a single rod behaviour) for analytical treatment of these phenomena. Final interpretation of the experimental results was performed jointly by JRC Petten, Forschungszentrum Karlsruhe, RIAR Dimitrovgrad and IBRAE Moscow. (orig.)
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".