Fraser River Ambient Environmental Monitoring Program Results Overview
Bibliographic record
Abstract
The Metro Vancouver region’s Integrated Liquid Waste and Resource Management Plan (ILWRMP) includes a regulatory requirement to conduct ambient monitoring programs to assess, forecast and evaluate the effects of wastewater and stormwater discharges to ambient environments. Ambient monitoring entails measuring conditions in the immediate environment surrounding, but not directly affected by discharges. Metro Vancouver’s Fraser River Ambient Monitoring Program was initiated in 2003. The program is designed to operate on a five-year cycle, and includes three components: water column, sediment and fish. Ambient water quality monitoring occurs at seven sites on an annual basis, while sediments are monitored every 5 years at seven sites, and fish tissues and health are monitored once every five years in three areas. The objectives of the Fraser River Ambient Monitoring Program are to: provide baseline environmental quality data; characterize changes in water, sediment and biota quality parameters in the Fraser River; evaluate long term temporal and spatial trends within the monitoring area; identify changes in parameters that might indicate environmental changes; and act as a measure of performance for Metro Vancouver’s ILWRMP. This presentation provides an overview of results for all three components of the program. Monitoring and assessment was targeted to parameters that are potential indicators of wastewater discharges. Results are compared to site specific objectives and applicable environmental quality guidelines. Additionally, a Water Quality Index rating based on the Canadian Council of Ministers of the Environment WQI tool was calculated for separate river reaches and for the river as a whole.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".