Demonstration of Very High Detritiation Factors with a Pilot-Scale CECE Facility
Bibliographic record
Abstract
Analysis of process data from initial detritiation tests in a pilot-scale Combined Electrolysis and Catalytic Exchange (CECE) Facility1 indicated that very high detritiation factors (DFs), at least 10 000, could be achieved in the facility. Performance requirements for process equipment were evaluated and some minor refinements were made to selected components. In particular, the recombination efficiency of tritium in the electrolytic oxygen stream was improved and the tritiated-water feed point was moved to a location lower in the catalyst column. With these modifications, the facility was able to remove more than 99.998% of the tritium (i.e., achieve a DF greater than 50 000) from a heavy water feed stream containing 330 GBq/kg, with 7.8 TBq/kg in the electrolysis cell. The processing rate at these conditions was about 2.2 Mg/a, compared with a rate of 5 Mg/a for a DF of 180.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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 | 0.001 |
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".