Assessment of Tire-Additive Transformation Product 6PPD-Quinone in Urban-Impacted Watersheds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Urban stormwater is a conduit for pollutants such as nutrients and tire-wear compounds through streams to the Great Lakes receiving waters. The transformation product of tire antiozonant 6PPD, 6PPD-quinone (6PPD-Q), is implicated in causing fish mortality. Urban streams entering Lake Ontario and waters adjacent to urban centers in Toronto and Hamilton, Ontario, were assessed for 6PPD-Q and its potential to impact aquatic life. Sampling occurred during fall and spring dry- and wet-weather flows in 2021–2022, overlapping with fish spawning times. Concentrations of 6PPD-Q were elevated during wet-weather (maximum 82 ng/L) in streams with the greatest degree of urbanization and road density but were much lower (2.4–4.5 ng/L) in nearshore waters, suggesting rapid dilution. Precipitation, road density within watersheds, chloride (from road salts), and total phosphorus were correlated with 6PPD-Q concentrations, suggesting that such parameters may provide a means to identify and prioritize key stream habitats for further assessment. A screening level hazard assessment using application factors of 10–1000 and available toxicity end points for fish (rainbow trout, brook trout, coho salmon) showed that 6PPD-Q concentrations may pose a risk in urban streams and nearshore waters of the region. We recommend that stormwater quality control measures be assessed for their effectiveness in reducing 6PPD-Q concentrations.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it