‘Contaminants of emerging concern’ in wastewater: Are current analytical technologies, policy development and industry guidelines enough to protect human and ecological health?
Bibliographic record
Abstract
<p>The presence of 'contaminants of emerging concern' (CEC) in water sources is a well-documented phenomenon. The term CEC is broadly defined as compounds present in water sources that are not monitored or regulated currently. Research has shown that CEC discharged from wastewater treatment plants (WWTPs) are present in downstream freshwater sources, which are relied upon for drinking water and fish habitat. However, the lack of a CEC regulatory framework for WWTPs combined with the narrow characterization of CEC as discrete chemicals without understanding the cumulative and synergistic impacts of these chemicals upon human and ecological health has resulted in a knowledge gap. Consequently, CEC scientific knowledge has not yet been translated to support the development of evidence-based decision-making tools and legal regulations that could protect freshwater sources, ecosystems, and human health, and be relied upon by municipalities and First Nations that are charged with operating WWTPs.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".