بررسی الگوی جریان در راه ماهی با دیوارهی آرام کننده از نوع دنیل
Bibliographic record
Abstract
Denil fishway contains a direct rectangular channel in different slope rates associated with special baffles inside the channel. The layout of the baffles provides an energy dissipation process which provides an acceptable operating condition for passing the fish in continues path along the channel. Denil fishway divides the current to two different parts, including the main current located at the middle of the channel and lateral currents along the frame position. The interaction between main and lateral currents provides the main process of mass and acceleration movement and concludes a significant energy reduction based on the turbulent process. In the other words, it can be concluded that the frequent baffles make the channel very rough, which results in a suitable condition for migrating fishes to the upstream (Cea et al., 2007). Rajaratnam and Katapodis (1983) conducted common research on the hydraulic of the fishway structures. They focused on the Denil fishway as one of the most important fishway structures among different types. The result of their study on the Denil fishway is the developed equation for measuring the discharge of the flow in the channel in various geometric scenarios. The physical model of the Denil fishway was constructed in the hydraulic laboratory at Alberta university, and the flow rate and velocity profiles were measured using the electromagnetic flowmeter and miniature velocimeter, respectively. Rajaratnam and Katapodis (1983) introduced six different Denil fishway types. The result of this study has shown that the output data are relatively similar to the Denil type 2. Equations (1), (2) are the main equations of the Denil fishway type 2 based on Rajaratnam and Katapodis (1983) studies.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.084 | 0.047 |
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".