Implementation of a Peatland-Specific Water Budget Algorithm in HYDROTEL
Bibliographic record
Abstract
HYDROTEL, a distributed hydrological model, was used to simulate streamflows of the Necopastic watershed (N53°40.6’; W78°09.8’), James Bay, Quebec. Because of the prevalence of peatlands in the studied environment, important issues regarding soil parameterization in the vertical, three-layer, water budget sub-model (BV3C) of HYDROTEL were raised. Since BV3C was originally developed for mineral soils, an alternative, peatland-specific, water budget sub-model (PHIM) was integrated into HYDROTEL. Basic data requirements included a description of the organic soil structure and a water-table/discharge relationship. PHIM was calibrated with data collected on a peatland complex located within the Necopastic watershed. Preliminary results of observed and simulated streamflows using both the original and the adapted versions of HYDROTEL compared well, therefore leading the way to future simulations of North-Boreal watersheds.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".