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Record W146968068 · doi:10.2166/wqrj.2001.011

Endocrine Disruption: Why Is It So Complicated?

2001· article· en· W146968068 on OpenAlexaff
Andrea Lister, Glen J. Van Der Kraak

Bibliographic record

VenueWater Quality Research Journal · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEndocrine systemVertebrateBiologyHormonePopulationBioinformaticsEvolutionary biologyEndocrinologyMedicineGeneticsEnvironmental healthGene

Abstract

fetched live from OpenAlex

Abstract The intricate nature of the vertebrate endocrine system creates several challenges that impede the understanding of the threats that endocrine disrupting substances (EDS) may pose to both humans and wildlife. While there are many similarities in the organization of endocrine communication across vertebrate classes, there are differences in hormonal activities and regulated events which makes generalizing EDS effects across species difficult. Aspects of endocrine functioning that may be affected by EDS include the biosynthesis, transport or availability, and metabolism of hormones. Also, EDS may interact with hormone receptors, which is a feature exploited by researchers as a screening method to identify potential EDS. There are many factors to consider in regards to the effects of potential EDS on endocrine functioning, including the timing of exposure, species-specific differences, and a multitude of other factors, which may impinge directly on the physiological endpoints used to determine if endocrine disruption has occurred. It is important to understand the status of the endocrine system before attempting to interpret reproductive status or the general health of the population. This paper provides an overview of the endocrine physiology of vertebrates and a description of the mechanisms by which EDS may affect endocrine function. As well, some of the factors that complicate our understanding of the relationship between exposure to EDS and compromised health in different vertebrate species are included.

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)0.008
metaresearch head score (Gemma)0.020
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.008
Scholarly communication0.0050.010
Open science0.0020.003
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0060.003

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 head0.215
GPT teacher head0.470
Teacher spread0.255 · 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
GenreCommentary

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

Citations59
Published2001
Admission routes1
Has abstractyes

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