Bibliographic record
Abstract
The occurrence and risk management of endocrine disrupting chemicals (EDCs) and pharmaceuticals and personal care products (PPCPs) are topics receiving considerable attention in recent years. Monitoring of EDC and PPCP residues has been conducted in raw and treated sewage, surface waters, ground waters, and drinking waters. Recent research has been aimed at improving analytical methods and furthering knowledge of fate and transport processes, environmental risks, source reduction, and risk management including treatment of EDC and PPCP contaminants. This paper provides an overview of the topic and regulatory issues pertaining to our understanding and managing of EDCs. In addition, this paper provides discussion on emerging concerns regarding PPCPs in the environment. Completed research is described pertaining to development of analytical methods, occurrence of EDCs and PPCPs in waters of southeastern Louisiana USA and Ontario Canada, assessment of drinking water treatment processes, and experimental results regarding the formation of chlorinated naproxen byproducts and impact of these byproducts on a simulated biofilm system. And finally, EDCs and PPCPs are described from an industry perspective.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".