Quantifying Exceedances of Chloride Water Quality Guidelines in Niagara Escarpment Streams Around Hamilton, Ontario Using High- Frequency Data
Bibliographic record
Abstract
Though stream chloride concentrations ([Cl]) have been shown to be increasing in cold regions worldwide, the frequency and duration of exceedances of the freshwater chronic and acute guidelines for safe exposure of aquatic life to chloride are understudied. Streamwater [Cl] for nine watersheds located along the Niagara Escarpment around Hamilton, Ontario were modeled using concentration-conductivity regressions with high frequency specific conductivity data between March 2020 and June 2021. Analyses of [Cl] dynamics at these sites suggests that stream [Cl] occasionally exceeds the Canadian acute guideline and regularly exceeds the chronic guideline. This study highlights the dilution of stream [Cl] by precipitation events in the non-salting season, which may provide temporary relief to aquatic organisms from otherwise toxic [Cl]. These results will help ecotoxicologists identify ecologically relevant exposure durations, ultimately serving to better inform regional understanding of the risk presented to Niagara Escarpment ecosystems from increasing [Cl] concentrations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".