PREDICTING CHANNEL GEOMETRY BASED ON URBAN LAND USE AND RIPARIAN VEGETATION: LOWER RIDEAU RIVER CATCHMENT, NORTH EASTERN ONTARIO
Bibliographic record
Abstract
The effects of urbanization (or impervious surface cover) on the hydrology and the morphology of streams have been studied for decades, but little attention has been put towards investigating the influence that different riparian vegetation conditions may have under situations of increasing urbanization (Hession et al., 2003). Four urban and four natural nearly contiguous sub-watersheds were selected from the Rideau River Watershed of North-Eastern Ontario to control for all significant channel-forming variables, except riparian vegetation and urbanization. It was found that only channel depths (and width/depth ratio) respond to increases in TIA and at a threshold of 5%. However, bank vegetation was also shown to influence downstream response patterns o f both channel depths and widths. The results presented demonstrate the complexity of downstream\nchannel response to localized boundary conditions. However, additional statistical analyses (i.e. ANOVA) are needed to confirm the reliability of the derived regressions relationships.
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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 | 0.001 | 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".