Quantification of Pharmaceuticals, Personal Care Products, and Perfluoroalkyl Substances in Elliott Bay sediments (Seattle, Washington)
Bibliographic record
Abstract
Pharmaceuticals and Personal Care Products (PPCPs) and Perfluoroalkyl Substances (PFASs) are identified as Chemicals of Emerging Concern (CECs) in Puget Sound due to their potential to cause adverse toxicological, biological, and ecological effects when introduced into the environment. Characterization of sources, transport patterns, and the fate of CECs in the environment has been prioritized as part of the Puget Sound Ecosystem Monitoring Program toxics monitoring strategy. These chemicals have been detected in ground water, rivers, and streams in the Pacific Northwest and in influent, effluent, and biosolids from Puget Sound municipal wastewater treatment plants over the past decade. They were also detected in sediments from ten long-term monitoring stations located throughout Puget Sound and thirty stations in Bellingham Bay in 2010. We report here on CECs detected in sediments from Elliot Bay, collected in 2013 at thirty stations selected using a random stratified design. Sediments were tested for the presence of 119 PPCPs and 13 PFASs. Analyses were conducted by AXYS Analytical Services Ltd., Sidney, BC, Canada, using AXYS Method MLA-075. This method uses liquid chromatography with tandem mass spectrometry (LC/MS/MS). Acid and base fractions were extracted, followed by five instrumental analyses in positive and negative electrospray ionization (ESI) modes. Results of these analyses are summarized and presented graphically to indicate the concentration and distribution of PPCPs and PFASs in Elliott Bay sediments, with comparisons made to concentrations measured in Bellingham Bay sediments.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".