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Record W2129973299 · doi:10.3934/environsci.2015.1.21

The use of biomonitoring equivalents for interpreting blood concentrations in population studies: a case for polychlorinated biphenyls

2015· article· en· W2129973299 on OpenAlex
Kavita Singh, Andy Nong, Mark Feeley, Hing Man Chan

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

VenueAIMS environmental science · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsOntario GenomicsHealth CanadaUniversity of Ottawa
FundersCanada Research Chairs
KeywordsBiomonitoringGuidelineEnvironmental scienceEnvironmental chemistryEnvironmental healthReference valuesMedicineChemistryPathologyInternal medicine

Abstract

fetched live from OpenAlex

A number of exposure guideline values for environmental contaminants are established by various agencies for risk assessment purposes. Biomonitoring equivalents are conversions of external guideline values to internal doses, against which biomonitoring data can be directly compared. Several biomonitoring equivalents have been developed for the interpretation of blood concentrations of environmental contaminants, but none has yet been developed for polychlorinated biphenyls (PCBs). In this paper, we describe information needed to develop biomonitoring equivalents for PCBs and discuss anticipated challenges. We provide a broad overview of PCB absorption, distribution, metabolism and excretion, PCB guideline values, and PCB pharmacokinetic modeling efforts in animals and humans. We also provide strategies to address anticipated challenges in deriving biomonitoring equivalents for this complex contaminant. Biomonitoring equivalents will be useful for the interpretation of the PCB biomonitoring data that is currently available for populations around the globe through national surveys and research of specific populations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.094
GPT teacher head0.337
Teacher spread0.243 · 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