Spatiotemporal dynamics of water quality analytes within an intensively managed prairie watershed
Bibliographic record
Abstract
A greater understanding of hydrological processes is needed to interpret spatial and temporal water quality dynamics, specifically within intensely managed prairie watersheds. This M.Sc. thesis looks at two years (2013 and 2014) of water quality and water level data, collected from 12 sub-watersheds outlets within the Catfish Creek Watershed (CCW). The CCW is located in southeastern Manitoba, is a tributary of Lake Winnipeg, and spans 642 km2, with a near-even mix of forest and agricultural land. The first data chapter (i.e., Chapter 2) analyzes correlations between each sub-watershed’s weekly water quality parameters (electrical conductivity, nitrate and phosphate concentrations) and their characteristics (e.g., topography and morphology, land use and land cover, and geology). The second research chapter (i.e., Chapter 4) conducts concentration-discharge (c-q) analyses using daily water quality measurements from four sub-watersheds. Findings indicate that the water quality dynamics within the CCW are both spatially and temporally diverse.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".