Session A2- Behaviour and passage success of fish using a vertical slot fishway in Quebec: case studies incorporating a single and multispecies approach
Bibliographic record
Abstract
The freshwater spawning migrations of many species have been influenced by the development dams which create barriers to migration. Although fishways are commonly installed to reinstate passage at these sites, their success at passing target species often remains unknown. We conducted two field studies at a vertical slot fishway on the Richelieu River in Quebec during May and June 2010 to: 1) determine passage success of lake sturgeon at the fishway and, 2) examine the utility of this fishway as a model for a multispecies approach. An extensive Passive Integrated Transponder (PIT) antenna array enabled us to quantify passage success, passage rates and determine the spatial location of individuals. In the first study, migratory lake sturgeon (n=107, 939-1625 mm TL) were captured, PIT tagged and released into the fishway. Sturgeon exhibited an ability to traverse the 70 m fishway quickly (minimum passage rate of 1.2 hrs), however, successful passage rates were variable 96.2-75.4 hrs from release) and only 30% successfully ascended. In the second study, 17 species comprising 492 individuals were captured in a fish trap, PIT tagged and released into the fishway. Passage efficiency was highly variable among species (range 0-100%), however >50% for seven of the species encountered (Atlantic slamon, carp, channel catfish, freshwater drum, smallmouth bass, walleye and white sucker). Passage rates were likewise highly variable both among and within species (e.g., 1.0-452.9 hrs for smallmouth bass, 2.4-237.5 hrs for shorthead redhorse). These results will be discussed in the context of balancing fishway design for priority species while maintaining diversity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".