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Record W1913159526 · doi:10.3934/environsci.2015.2.374

DDTs, PCBs and PBDEs contamination in Africa, Latin America and South-southeast Asia—a review

2015· article· en· W1913159526 on OpenAlexaff
Peter Mochungong

Bibliographic record

VenueAIMS environmental science · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsHealth Canada
Fundersnot available
KeywordsPolybrominated diphenyl ethersContaminationEnvironmental scienceLatin AmericansDeveloping countryEnvironmental protectionGeographyAgriculturePolychlorinated biphenylPollutantEcologyBiologyArchaeology

Abstract

fetched live from OpenAlex

Levels of polybrominated biphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs), and dichlorodiphenyltrichloroethane and its degradation products (DDTs) in the environment (ambient air, soil and aquatic mammals) and in humans from the developing regions (Africa, Latin America, and South-southeast Asia) are reviewed. Higher DDTs levels in certain parts of the developing regions due to agricultural applications and disease control measures are evident. The data however do not indicate higher levels of PCBs and PBDEs in the developing regions compared to developed countries. We also compared globally the levels of these chemicals in human milk sampled since year 2000. Human milk data again showed higher DDTs levels in the developing regions. For PBDEs, though current levels in human milk from the developing regions do not exceed levels found in the developed countries, data suggest the levels of PBDEs in the developing regions may be on the rise.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.221
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 designNot applicable
Domainnot available
GenreReview

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

Citations25
Published2015
Admission routes1
Has abstractyes

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