Hydraulic geometry of Green and Birkenhead rivers: Southwestern Coast Mountains, British Columbia
Bibliographic record
Abstract
Green and Birkenhead Rivers are located in the southwestern Coast Mountains of British Columbia, and the drainage in both basins is still strongly controlled by glacial features left after the retreat of the Vashon ice sheet. River slopes are imposed on the upland streams while the slope of the main valley streams is at least partly imposed by the glacial topography. Discharge in the streams is dominated by snowmelt during the summer though peak daily discharges frequently occur in autumn during autumn storms. At-a-station hydraulic geometry curves were determined by least square regression analysis for five sections from Water Survey of Canada gauging records. Velocity shows a more rapid than usual rate of adjustment, and resistance decreases more rapidly than the average as discharge increases. Residual values appear to be distributed about the regression lines in a systematic manner suggesting that the channel form fluctuates systematically over time. Similar results were found for ten other sections in the southwestern Coast Mountains. Downstream hydraulic geometries were determined for Green River and Birkenhead River. Bankfull discharge was assumed to have a constant recurrence interval of 2.33 years for both basins. Channel width shows a greater than usual increase in the downstream direction while velocity appears to remain constant or decrease.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".