Environmental characterization of surface runoff from three highway sites in Southern Ontario, Canada: 1. Chemistry
Bibliographic record
Abstract
Highway runoff is a significant source of contaminants entering many freshwater systems. To provide information on effects of highway runoff on aquatic biota, runoff samples were collected from three sites representing different classes of highways with low, intermediate and high traffic intensities. Samples were analysed for chloride, trace metals and polycyclic aromatic hydrocarbons (PAHs). Runoff from a major multilane divided highway, with the highest traffic intensity, contained the highest levels of chloride (45–19,135 mg/L) and metals. Runoff solids from this highway contained the highest levels of PAHs (19.7–2142 mg/kg). PAHs were also high (9.83–237 mg/kg and 26.4–778 mg/kg) at the intermediate and low traffic intensity sites, respectively. High concentrations of potent mutagens and carcinogens such as benzo(a)pyrene (0.414–124.62 μg/g) and indeno-pyrene (0.549–50.597 μg/g) were measured in the particulate phase of all runoff samples. Chloride concentrations of winter and early spring runoff were significantly higher (P < 0.001, t = 2.66) than during the rest of the year. Levels of contaminants depended on traffic intensity, road condition (age, composition, maintenance), the condition of metal structures (drains, guardrails, etc.) and seasonal conditions. A companion paper discusses spatial and temporal aspects of contaminant-associated toxicity of highway runoff.
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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 | 0.002 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 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".