Evaluation of the Viability of an Acoustic Doppler Current Profiler for the Velocity Field Analysis of Fish Entrainment Risk at Hydropower Dams
Bibliographic record
Abstract
Fish entrainment at hydropower facilities affects the productivity and biodiversity of aquatic species in upstream reservoirs. The measurement and modelling of flow structures upstream of dams is of particular importance for engineers and biologists assessing entrainment risk and designing potential fish entrainment mitigation techniques. Field measurements of the forebay hydraulics at Hugh Keenleyside dam on the Columbia River were completed in August 2010. The acoustic measurements completed over this period were able to measure high quality flow data in the forebay, however the instruments' lateral measurement constraints restricted the measurement of the high-risk zone under the dams operations during measurements. The hydraulic and biological components of fish entrainment must be evaluated hand-in-hand with the development of operationally feasible solutions to evaluate fish entrainment risk at hydropower facilities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".