Investigating entrance hydrodynamics of sea lamprey traps
Bibliographic record
Abstract
Sea lampreys ( Petromyzon marinus) are an invasive species of concern in the Laurentian Great Lakes. Their predation on native species has degraded the ecological and economic health of the region; they are thus targeted for removal through various means, including trapping. Currently, many sea lamprey trap designs are not efficient enough for population control. This is believed to be partially due to entrance flows, the flow patterns induced by these traps that are felt by approaching sea lampreys. This study experimentally quantifies these entrance flows. Models of two common sea lamprey trap designs were built and installed in a water tunnel in the University of Michigan Hydraulics Lab and entrance flows were measured using particle image velocimetry (PIV) with minimal background turbulence. Velocity, velocity gradient, and vorticity distributions in the flow are evaluated from the PIV data. These same models were installed in larger-scale raceways at USGS’ Hammond Bay Biological Station, and entrance flows were again measured using PIV to explore how these patterns change in a more turbulent environment that better mimics natural conditions.
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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 | 0.001 | 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".