Spectrometry methods for <i>in vivo</i> bone strontium measurements
Bibliographic record
Abstract
Abstract In vivo x‐ray fluorescence (XRF) and dual‐photon absorptiometry (DPA) are two widely accepted radiation‐based measurement techniques. The first one is mainly used for the measurement of toxic elements in the human body, while the second one is clinically used to measure bone density. In this paper we present a literature review of the application of these two techniques to in vivo strontium measurements. Strontium is a natural constituent of the human skeleton, where it may exert beneficial or detrimental effects depending on the dietary intake and other factors. Recently, several medical publications have focused on the beneficial effects on bone of pharmacological dosages of strontium, especially with regard to its anti‐osteoporotic effects. However, the mechanism by which strontium exerts its therapeutic action is still not known. XRF and DPA have the potential of providing unique information on bone strontium concentration, retention and elimination that cannot be gained at the moment in any other way. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".