Avis de l'Anses relatif à l’élaboration d’une méthodologie d’évaluation du caractère PE des substances chimiques en vue d’un classement en catégories « avérées, présumées, suspectées »
Bibliographic record
Abstract
EDCs are substances that alter function(s) of the endocrine system and consequently cause adverse health effects. The endocrine system consists of many cells and tissues that interact with each other and the rest of the body by means of hormones. This system is responsible for controlling a large number of processes in the body from gamete formation, to conception and early developmental processes such as organogenesis, and to most tissue and organ functions throughout life. EDCs interfere with endocrine function by many ways and, in doing so, lead to adverse effects on the health of humans and/or wildlife. Some of the observed health effects associated with EDCs include, butare not limited to cancer, reproductive, developmental, immunological, neurological, metabolic disorders and obesity. More background information on endocrine disruption and the endocrine system is available in the report “State of the Science of Endocrine Disrupting Chemicals – 2012” from UNEP/WHO, 2012.The definition of an endocrine disrupter proposed by WHO/IPCS (2002), which is internationally accepted by scientific consensus stated that:An endocrine disruptor is an exogenous substance or mixture that alters function(s) of the endocrine system and consequently causes adverse health effects in an intact organism, or its progeny, or (sub) populations.A potential endocrine disruptor is an exogenous substance or mixture that possesses properties that might be expected to lead to endocrine disruption in an intact organism, or its progeny, or (sub)populations.
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 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 | 0.029 | 0.048 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.009 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".