MétaCan
Menu
Back to cohort
Record W2145772491 · doi:10.1186/2190-4715-23-15

Endocrine disruptor screening: regulatory perspectives and needs

2011· article· en· W2145772491 on OpenAlexaff
Markus Hecker, Henner Hollert

Bibliographic record

VenueEnvironmental Sciences Europe · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsUniversity of Saskatchewan
FundersEidgenössische Anstalt für Wasserversorgung Abwasserreinigung und GewässerschutzÉcole Polytechnique Fédérale de Lausanne
KeywordsWater Framework DirectiveContext (archaeology)Endocrine disruptorEuropean unionSewage treatmentEnvironmental scienceAquatic environmentEnvironmental planningEffluentRisk assessmentWildlifeSewageDirectiveEnvironmental protectionEnvironmental resource managementRisk analysis (engineering)BusinessWater qualityEnvironmental engineeringEcologyEndocrine systemBiologyComputer science

Abstract

fetched live from OpenAlex

National and international governments are in the process of establishing testing programs and strategies to assess the safety of currently used chemicals with regard to their potential to interact with the endocrine system of man and wildlife, resulting in potential impacts on reproduction, growth, and/or development. Specifically, the USA, Japan, EU, and OECD have established testing approaches and regulatory frameworks with aim to assess the risks associated with chemicals that have endocrine disrupting properties (EDCs). While there has been a large amount of efforts over the past two decades in context with the assessment of chemical safety, no comparable attempts to harmonize and mutually accept testing strategies and decision-making criteria for environmental monitoring and assessment exist to date for EDCs. In fact, many of the current environmental programs such as the European Water Framework Directive (WFD) or the US Clean Water Act do not explicitly test for EDCs, and considering the unique requirements and endpoints required to assess the endocrine potential of a sample, these programs are unlikely to appropriately address exposure to these chemicals. This is of great concern since EDCs are ubiquitous in the environment, especially in aquatic ecosystems. One of most important sources for EDCs in the environment is the effluent from sewage treatment plants. Many EDCs such as the natural and synthetic estrogens 17β-estradiol and 17α-ethinylestradiol, respectively, are not completely removed with conventional wastewater treatment systems. In recognition of these concerns, in Europe, there is increasing pressure to further develop advanced wastewater treatment methods, such as ozonation and activated carbon treatment for a broad application in municipal wastewater treatment. Another issue is the continuing lack of understanding of the environmental relevance of the phenomenon of ED. A great number of studies have been conducted to describe potential ED in wild and laboratory animals. Most of these studies relied on biomarkers of estrogenicity such as vitellogenin induction in males and mild histological alterations (e.g. occurrence of testicular oocytes), and to date - with few exceptions - no convincing evidence of population relevant impacts of exposure to EDC in the wild exist. In conclusion, while there has been a great deal of research and efforts in context with the hazard assessment and regulation of EDCs, there is still a large number of remaining uncertainties and issues. These range from animal rights concerns due to significant increases in the use of animals to fulfill testing requirements, associated needs for alternative testing concepts such as in vitro , in silico , and modeling approaches, lack of understanding of the relevance of the exposure of man and wildlife to EDCs, and the need for inclusion of EDCs in current environmental programs such as the WFD. In this article we attempted to summarize the current state-of-the-art of regulatory and scientific approaches in context with EDCs, and to identify issues and future needs to address current shortcomings in the field.

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)0.042
metaresearch head score (Gemma)0.024
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: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0010.004
Scholarly communication0.0070.012
Open science0.0050.004
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0120.003

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 head0.039
GPT teacher head0.255
Teacher spread0.216 · 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
GenreOther

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

Citations102
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueEnvironmental Sciences EuropeSame topicPharmaceutical and Antibiotic Environmental ImpactsFrench-language works237,207