World Health Organization increases its drinking-water guideline for uranium
Bibliographic record
Abstract
The World Health Organization (WHO) released the fourth edition of Guidelines for Drinking-water Quality in July, 2011. In this edition, the drinking-water guideline for uranium (U) was increased to 30 μg L(-1) despite the conclusion that "deriving a guideline value for uranium in drinking-water is complex, because the data [from exposures to humans] do not provide a clear no-effect concentration" and "Although some minor biochemical changes associated with kidney function have been reported to be correlated with uranium exposure at concentrations below 30 μg L(-1), these findings are not consistent between studies" (WHO, Uranium in Drinking-water, Background document for development of WHO Guidelines for Drinking-water Quality, available: , accessed 13 October 2011). This paper reviews the WHO drinking-water guideline for U, from its introduction as a 2 μg L(-1) health-based guideline in 1998 through its increase to a 30 μg L(-1) health-based guideline in 2011. The current 30 μg L(-1) WHO health-based drinking-water guideline was calculated using a "no-effect group" with "no evidence of renal damage [in humans] from 10 renal toxicity indicators". However, this nominal "no-effect group" was associated with increased diastolic blood pressure, systolic blood pressure, and glucose excretion in urine. In addition, the current 30 μg L(-1) guideline may not protect children, people with predispositions to hypertension or osteoporosis, pre-existing chronic kidney disease, and anyone with a long exposure. The toxic effects of U in drinking water on laboratory animals and humans justify a re-evaluation by the WHO of its decision to increase its U drinking-water guideline.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".