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Record W1998029074 · doi:10.1002/xrs.997

Spectrometry methods for <i>in vivo</i> bone strontium measurements

2007· article· en· W1998029074 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueX-Ray Spectrometry · 2007
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsToronto Metropolitan UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStrontiumIn vivoDoseChemistryRadiochemistryPharmacologyMedicineBiologyBiotechnology

Abstract

fetched live from OpenAlex

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 &amp; Sons, Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.056
GPT teacher head0.415
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it