GASTROINTESTINAL ABSORPTION OF URANIUM IN HUMANS
Bibliographic record
Abstract
The gastrointestinal absorption factor (f1) for uranium in humans has been determined from a study of 50 volunteers, ingesting uranium at natural levels in drinking water and food. The purpose of the study was to find an appropriate f1 value for humans to use in deriving exposure guidelines for uranium. The participants ranged in age from 13 to 87 years. They were selected from two communities: New Ross, Nova Scotia with elevated uranium in drinking water, and Ottawa, Ontario with very low levels of uranium. Uranium intake and excretion were measured in samples collected concurrently from the same individuals over a three-day period. The duplicate diet method was used to monitor uranium intake in food and water. Uranium levels in all samples were measured by inductively coupled plasma mass spectrometry (ICP/MS). The distribution of f1 values obtained was non-Gaussian with a range of 0.001 to 0.06 and a median of 0.009. Seventy-eight percent of the subjects had values less than 0.02. These values are consistent with the recommendations of ICRP 69. The f1 values were not gender-sensitive and were independent of age at time of study, duration of exposure, and total uranium intake. The implications of these findings are discussed in terms of setting drinking water guidelines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".