Ecological Flow Assessment for Hanlon Creek, Ontario: Use of Synthesized Flows with Range of Variability Approach
Bibliographic record
Abstract
Maintaining the natural hydrologic variability of streamflows is critical for conserving stream ecosystems. The consequences for streamflow of gradual urbanization were investigated for a small Ontario watershed. A hydrologic model (GAWSER), calibrated for current conditions, was used to generate a 41-year daily streamflow time series at eight points of interest. Model parameters were altered to represent different land use scenarios and streamflow time series were generated for each scenario. A flow assessment tool, Indicators of Hydrologic Alteration (IHA), was used to characterize the flow regimes for each scenario in terms of 34 ecologically-related, hydrologic parameters. The Range of Variability Approach (RVA) was applied to assess the degree of flow alteration and to set initial streamflow management targets to restore a more natural flow regime. The study demonstrates the suitability of the tools for simulating daily flows, characterizing the flow regime, quantifying the alteration of the flow regime due to urbanization, and setting preliminary flow targets for an urbanized watershed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".