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Polybrominated Diphenylether Levels among United States Residents: Daily Intake and Risk of Harm to the Developing Brain and Reproductive Organs

2005· article· en· W4229823974 on OpenAlexfundno aff
Thomas McDonald

Bibliographic record

VenueIntegrated Environmental Assessment and Management · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
FundersUniversity of TorontoCalifornia Environmental Protection Agency
KeywordsHarmEnvironmental healthPolybrominated diphenyl ethersRisk assessmentEnvironmental scienceMedicineBiologyPsychologyPollutantEcologyEconomicsSocial psychology

Abstract

fetched live from OpenAlex

Abstract Data on Polybrominated diphenylether (PBDE) concentrations in individual U.S. women were compiled. PBDE levels in adipose tissue, serum, and breast milk from individual U.S. women were found to follow similar lognormal distributions, which exhibited a high degree of variability. The distribution of lipid-normalized PBDE concentrations for all media combined had a median of 47.9 ng/g and a 95th percentile estimate of 302 ng/g. Estimates of congener-specific kinetic parameters were used to calculate the total daily intake of the PBDEs (sum of 5 PBDE prominent congeners, PBDE-47, -99, -100, -153, and -154) that would be required to achieve the measured body burdens. PBDE intake estimates from all routes of exposure were 8.5 ng/kg/d (median) and 54 ng/kg/d (95th percentile). The potential health risks posed by the PBDEs were examined by comparing 95th percentile tissue concentrations in humans (Chuman) to modeled and measured tissue concentrations in rodents that caused no developmental neurotoxicity and reproductive effects (Crodent). The ratio of rodent-to-human PBDE concentrations (Crodent:Chuman) was <1 for alterations of male and female reproductive organs in rats, <10 for neurodevelopmental effects in mice, and <100 for neurodevelopmental effects in rats. If humans are as sensitive as animals to PBDE-induced developmental toxicity, the current margin of safety appears low for a fraction of the population.

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)0.001
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 score0.525
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.247
Teacher spread0.238 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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