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Record W4414348791 · doi:10.1093/inteam/vjaf127

Workshop report: scoping for the development of a proposal for an OECD guidance document on fish vitellogenin assessment

2025· article· en· W4414348791 on OpenAlexaff
Natalie Burden, Catherine B. Aubee, Jacqueline Augusiak, Marta Baccaro, Svenja Boehler, François Brion, Rebecca J. Brown, Katherine K. Coady, ZhiChao Dang, Elke Eilebrecht, Teresa Fagundes, Tom Fisher, Mike Fryer, Zhenglei Gao, Tracey Goodband, Markus Hecker, Henrik Holbech, Stefan J. Hoeger, Miriam N. Jacobs, Ioanna Katsiadaki, Oliver Koerner, Julie Krzykwa, Joseph Marini, Richard Maunder, Samuel K. Maynard, Frank Mikkelsen, Valentin Mingo, Grace H. Panter, Audrey Pearson, Francesca Pellizzato, Edward R. Salinas, Suzanne Z. Schneider, Fiona Sewell, Petra Stahlschmidt, Karen L. Thorpe, Daniel L. Villeneuve, Lennart Weltje, James R. Wheeler, Hiroshi Yamamoto

Bibliographic record

VenueIntegrated Environmental Assessment and Management · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsUniversity of Saskatchewan
FundersUmweltbundesamtDepartment for Environment, Food and Rural Affairs, UK Government
KeywordsVitellogeninIdentification (biology)Scope (computer science)Relevance (law)Fish <Actinopterygii>Test (biology)

Abstract

fetched live from OpenAlex

This report summarizes discussions of an international workshop in May 2024, aiming to scope the development needs of a proposal for an Organisation for Economic Cooperation and Development (OECD) Guidance Document on vitellogenin (VTG) analysis and assessment. Vitellogenin, an egg-yolk precursor protein in oviparous species, is an informative marker of possible chemical-induced endocrine activity (particularly estrogenicity). Vitellogenin measurement is included in several standardized test guidelines published by the OECD and USEPA for the assessment of endocrine activity of chemicals in fish (and one in amphibians). However, in vivo VTG data across and within fish species can be highly variable and influenced by both technical and biological factors, affecting the reliability and interpretation of results. This poses a challenge for regulatory decision-making and can trigger potentially unnecessary vertebrate studies or prevent necessary further investigations. The workshop brought together 42 experts from different sectors and geographies to discuss three key aspects regarding VTG assessment: (1) technical/laboratory factors and VTG quantification, (2) data handling and statistics, and (3) interpreting the biological relevance of VTG responses. The workshop participants discussed the development and needs of a guidance document to provide harmonized recommendations, best practices, quality assurance criteria, and minimum reporting standards for VTG assessment in regulatory studies across the different test guidelines. Several areas were identified where further work and discussion are needed to inform on the development of the guidance document, such as the use of historical control data, the identification of potential outliers, the presentation of data, and analysis of case study examples. Provision of such a guidance document will further support the use of VTG as a relevant marker for a key aspect of endocrine activity assessment for regulatory decision-making. A formal project was subsequently accepted into the OECD Test Guideline workplan in April 2025.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.669

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.336
Teacher spread0.319 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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