Experimental Investigation of Fish Farm Hydrodynamic Wake Properties on 1:15 Scale Model Circular Aquaculture Cages
Bibliographic record
Abstract
Hydrodynamic experiments on 1:15 scale model arrays of circular fish cages, typically used in eastern Canada, have been completed in the recirculating flume tank located at the Fisheries and Marine Institute of Memorial University in St. Johns, Newfoundland. Scale model cages were designed with a high amount of detail from 100 m circumference cages used in industry. Two different cage spacings were tested, representing spacing of cages typically found at cage sites. A global force ratio scaling technique was developed and applied to the experiment to ensure geometric similarity between cages of model scale and full scale. Planes of 64 (8×8) wake velocity measurements at both cage spacings were taken behind individual cages within the array and at distances in the wake of the entire array, to observe velocity deficits, wake topology, wake recovery and unsteadiness in the flow field. Results show high velocity deficits behind the cages, causing accelerations in the flow underneath and around the sides of the cages. High amounts of unsteadiness is found to be generated at the bottom of the cages due to the presence of a shear layer in the wake of the cages. Dye release was also used to observe many features of the flow field at one time, and to verify results obtained from wake velocity measurements.
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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".