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Record W3040204690 · doi:10.30799/jespr.201.20060202

Energy Dispersive Spectroscopy (EDS) Measurements of Sulfur Uptake in Pigeon Bone Associated with the Intake of Slag, and the Induction of Homocystinuria

2020· article· en· W3040204690 on OpenAlexaffabout
Eduardo Galiano, Michel Lapointe

Bibliographic record

VenueJournal of Environmental Science and Pollution Research · 2020
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSulfurMethionineSlag (welding)SmeltingOsteopeniaChemistryEnvironmental chemistryMetallurgyInternal medicineBiochemistryMaterials scienceAmino acidMedicineOsteoporosisBone mineral

Abstract

fetched live from OpenAlex

Slag from nickel smelting operations over the last 150 years has been deposited over vast areas of soil around the Sudbury basin in Ontario, Canada. This metal-rich material containing a 2.50 ± 0.50% sulfur concentration by mass, when ingested, has the potential to effect important physiological changes in biological systems. In this work, we measure the uptake of sulfur in the tibio-tarsal bones of pigeons (Columbia Livia Domestica) subjected to a slag-based diet, using energy dispersive spectroscopy (EDS). A sulfur-rich diet is associated with homocystinuria, a condition which impairs the conversion of methionine to cysteine. Among the bony changes associated with the condition are osteopenia, loss of calcium, compromised mechanical integrity, and increased resorption. In previous work, we have detected and quantified all of these changes, and thus propose that the results of the present work support the conclusion that a sulfur-rich, slag-based diet, can induce homocystinuric condition in this avian species.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.039
GPT teacher head0.287
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2020
Admission routes2
Has abstractyes

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