Bibliographic record
Abstract
On the heavy urbanized Etobicoke Creek watershed salt crystals and other chlorides are used for roads deicing in winter and for suppressing dust in summer, How are the chlorides from these two sources distributed between surface and ground waters; how subsequently ends up in Lake Ontario, which tributary Etobicoke Creek is? Can surface water monitoring results be interpreted this way? Is it possible to assess daily dynamics of surface and groundwater chlorides based on the available monitoring database? An attempt to quantitatively estimate daily contamination of direct, interand baseflow of a highly urbanized watershed (209 km2) was done using the only source of quality data the monitoring database of Environment Canada (-1 sample/month). Average daily load of chloride by Etobicoke Creek into Lake Ontario was 71,9, highest – almost 1500 tons, Shares of the base, interand direct flow in the monthly loads fluctuated in 18-64, 23-53 and 2-40°A ranges, respectively. The overall year average of chloride loads of the total flow for examined period was 26990 tons breaking into mentioned above components in amounts of 7899, 11252 and 7840 tons, respectively. The result has revealed the predominant contamination of the interflow pathway for Etobicoke Creek.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".