A COMPUTER PROGRAM FOR THE DETERMINATION OF ABSOLUTE ACTIVITIES IN CONTAMINATIONS AND SKIN DOSES
Bibliographic record
Abstract
At radiological facilities, protocols are in place to guide radiation protection personnel in the event of the radioactive contamination of surfaces. A count rate measurement is performed with a portable contamination survey meter and a sample of the contamination is taken for later analysis and identification of the radionuclides. If the contaminated surface was of a worker's skin, then a skin dose assessment is made. The determination of the absolute activity of the radionuclides of the contamination often rests on the assumed detection efficiency of the survey meter used in the initial counting. This may lead to important underestimation or overestimation of the radionuclides' activities as the detection efficiency of the instrument must depend on the radiation type, the energy and the backscatter characteristics of the surface. This paper reports on a user-friendly computer application that relies on databases of pre-calculated detection efficiencies and skin dose rate conversion factors for the accurate assessment of contamination activities and skin doses. The results of some cases are compared with the available data in the literature.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.021 |
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".