The feasibility of measuring silver concentrations<i>in vivo</i>with x-ray fluorescence
Bibliographic record
Abstract
X-ray fluorescence (XRF) has been demonstrated to be an extremely useful technique for measuring trace quantities of heavy metals in various tissues in the body. This study investigates the applicability of XRF to the measurement of silver concentrations in skin. The system chosen employs an 125I source to excite the silver K x-rays, with the source, sample and detector arranged in a 90 degrees geometry. Experiments with silver-doped skin phantoms indicate that a minimum detectable concentration of 3-4 ppm is possible in 10-20 min measurement periods. Based on estimates of silver concentrations in the skin of patients suffering from argyria, the proposed system has sufficient sensitivity to warrant further investigation into its usefulness for non-invasive monitoring of exposed populations. Specifically, such a measurement may well allow for the identification of individuals at risk of subsequently exhibiting argyria, an irreversible skin pigmentation arising from silver exposure.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".