Monitoring of Airborne Tritium in Vicinity of Radioluminescent Light Manufacturer
Bibliographic record
Abstract
Passive diffusion samplers (PDS) composed of a vial with a solution of distilled water and ethylene glycol have an affinity to capture tritium oxide (tritiated water vapour, HTO) from surrounding air through an orifice in a lid. In order to ascertain the effectiveness of such samplers for tracking changes in the HTO air concentrations attributable to variations in tritium emission rates, the Canadian Nuclear Safety Commission (CNSC) measured the HTO concentrations in air for one year on a bi-weekly basis at various distances along four directions from an operating radioluminescent light manufacturing facility. The collected data demonstrate that the PDS are low cost and low maintenance means for reliable monitoring of airborne HTO emissions. The data indicate a rapid decrease of atmospheric HTO concentrations with increasing distance from the facility in all directions. A strong correlation (r=0.89) was found between reported releases of HTO from the facility and the HTO air concentrations observed at the monitoring locations. Distribution of HTO around the facility correlated strongly (r=0.99) with local wind distribution.
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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 | 0.000 | 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 | 0.000 | 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 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".