WATER AND SEDIMENT QUALITY IN DITCHES DRAINING THE HICKSON PROPERTY AND
Bibliographic record
Abstract
This document contains the three reports produced by the teams following the September investigations. Following are synopses of these investigations and their conclusions. Drainage ditches received runoff water from the fire fighting effort. These ditches lead to Highland Creek a short distance to the east. Sediments and water samples were collected from these ditches and the creek and analyzed for metals and chlorinated organic compounds. While Provincial Water Quality Objectives were exceeded in Highland Creek for aluminum, nickel and iron, in some samples, these findings could not be attributed to the fire. Given the degree of urbanization around the creek and throughout its watershed, these findings are not considered unusual. An evaluation as to potential sources was beyond the scope of this fire investigation. Assessment of Lake Ontario water at the mouth of Highland Creek and near water treatment intakes was performed with instrumentation that measures fluorescence due to hydrocarbons in the water. These measurements were not any higher than what is normally encountered near urban stream inflows. This is in contrast to measurements during the fire which revealed a large plume in the lake. Water samples did not contain measurable concentrations of the organic compound detected soon after the fire. Metal concentrations were either similar to or lower than where detected during the fire. The effect of the fire was to produce a short-lived plume of water with degraded quality which dissipated within 48 hours Samples of soil and pine foliage were collected at most of the same locations as in April. Analyses of these samples for dioxins, furans and PAHs reveled that these compounds were either no longer detectable or were at lower concentrations. The sooty deposits on...
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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) | 0.002 | 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".