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Record W2087011922 · doi:10.1002/xrs.952

Detection of mercury in the kidney via source‐excited x‐ray fluorescence

2007· article· en· W2087011922 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.

Bibliographic record

VenueX-Ray Spectrometry · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsImaging phantomDetection limitDetectorMercury (programming language)Materials scienceAttenuationIn vivoOpticsAnalytical Chemistry (journal)Nuclear medicineChemistryPhysicsMedicineChromatographyComputer science

Abstract

fetched live from OpenAlex

Abstract Non‐invasive detection of kidney Hg in vivo is important in order to prevent detrimental health effects in occupationally exposed persons. In this study, preliminary results of a 109 Cd source‐based x‐ray fluorescence system for the detection of Hg in the kidney are presented. The system includes a single 50 mm diameter HPGe detector with a 109 Cd source mounted on the detector face for backscatter measurement geometry. A detection limit of 3.9 ppm was obtained during a bare kidney phantom feasibility study. In order to simulate an in vivo measurement, kidney phantoms were also placed inside a water tank representing the torso. The detection limit was 5.0 ppm at 1 cm phantom depth, as measured to the phantom boundary. As expected, Hg sensitivity decreased with kidney depth owing to the attenuation of incident 109 Cd γ‐rays and emitted characteristic Hg K x‐rays, so that at a phantom depth of 4 cm the detection limit was 44 ppm. Further improvements to the detection limit will allow future in vivo kidney Hg measurements of chronically exposed workers. Copyright © 2007 John Wiley & 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.243
Teacher spread0.234 · 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