Use of Stabilized Stream-Monitoring Sections to Monitor Annual Streamflow on the Alberta Boreal Plain
Bibliographic record
Abstract
Streamflow in small forested watersheds on the Boreal Plain of western Canada can be a challenge to monitor due to high variation in flow, shifting channel morphology, aufeis obstructions, shallow channel depth, and debris in the channel. Intensive monitoring in natural channels can overcome some of these problems, but frequent assessment and recalibration of streamflow-stage relationships are necessary. Experience over 8 years indicates that in-channel structures designed to provide a stabilized stream-monitoring section (SSMS) proved beneficial to monitoring efforts during the ice-free season. The SSMS facilitated accurate gauging of the highest and lowest flows encountered during this period, provided a relatively stable foundation against streambank and channel erosion, and allowed passage of fish and the majority of debris and sediments. Functionality of the structures was markedly limited during ice-in conditions, but was improved with the addition of fitted canopies and propane heating systems.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".