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Record W2277424697 · doi:10.3109/1354750x.2016.1138322

Do biomarkers of exposure and effect correlate with internal exposure to PAHs in swine?

2016· article· en· W2277424697 on OpenAlexafffund
Rachel E. Peters, Mark Wickstrom, Steven D. Siciliano

Bibliographic record

VenueBiomarkers · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaHealth Canada
KeywordsOxidative stressChemistryDNA damageCytochrome P450Micronucleus testBiomarkerPhysiologyToxicityBiologyDNAToxicologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Humans are commonly exposed to polycyclic aromatic hydrocarbons (PAHs), a family of compounds present as mixtures in the environment. This study exposed swine to PAH mixtures in single and subacute dose regimens and collected liver and ileum tissue to measure cytochrome P450 mRNA expression and enzyme activity as biomarkers of exposure and DNA adducts and oxidized proteins as biomarkers of effect. Micronucleated reticulocytes were measured as systemic biomarkers of effect. Duration of exposure did not influence biomarkers of exposure, though exposure duration produced significant increases in DNA adducts and oxidative stress. Micronucleated reticulocyte numbers were not affected by exposure length.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.209
Teacher spread0.205 · 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

Citations4
Published2016
Admission routes2
Has abstractyes

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