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Record W4246401018 · doi:10.32920/ryerson.14646402.v1

Quantification of aluminum in human bone with neutron activation analysis

2021· preprint· en· W4246401018 on OpenAlexaff
Kanakam Davis

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNeutron activation analysisAluminiumMaterials scienceDetection limitRadiochemistryNuclear medicineNeutronIrradiationBiomedical engineeringMedicineChemistryComposite materialPhysicsNuclear physicsChromatography

Abstract

fetched live from OpenAlex

In Vivo Neutron Activation Analysis (IVNAA) has been investigated to measure aluminum levels in bone for several years. Aluminum, being a toxic element, should be routinely monitored in both clinical and occupational environments. The non-invasisve IVNAA technique developed at the McMaster University Accelerator Lab is currently being improved for future use. New sets of hand phantoms were prepared that closely resemble spectra that were collected from the hand of healthy subject. Following the IVNAA of aluminum phantoms, the technique was applied for the first time to measure bone A1 levels in 18 healthy subjects. The mean hand bone A1 concentration was determined as 28 µg A1/g Ca. The results were achieved with a dose equivalent of 17.6 mSv. Further investigations using an enhanced detection system and applying optimazation of the irradiation protocol with radiation dose up to 50 mSv showed that minimum detectable limit was improved to 0.10 mg A1.

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.

How this classification was reachedexpand

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)0.000
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 score0.614
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.017
GPT teacher head0.274
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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