Workshop report: scoping for the development of a proposal for an OECD guidance document on fish vitellogenin assessment
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.072 | 0.055 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".