Occurrence and Removal of PPCPs and EDCs in the Detroit River Watershed
Bibliographic record
Abstract
The occurrence of 51 pharmaceuticals and personal care products (PPCPs) and endocrine disrupting compounds (EDCs) in the Detroit River Watershed (DRW) was investigated. Also, the efficiency of local water treatment plants (WTPs) in removing these pollutants was evaluated. Samples were collected from various locations in the DRW, including the discharge of a sewage treatment plant (STP), downstream of the STP on the Detroit River, the intakes of the WTPs, and treated drinking water. Of the 51 target substances analyzed, 12 were not detected in any of the samples, while 14 were detected consistently in all samples from the STP effluent. The concentration of target chemicals was two to four orders of magnitude higher in the STP effluents than at the intakes of the WTPs. In total, 10 substances were detected in at least 10% of the drinking water samples. Two compounds, perfluorooctanoic acid (PFOA) and perfluorooctyl solfonate (PFOS), were found in 90+% of the drinking water samples.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".