Evaluation of post-stocking survival and movement of hatchery-reared juvenile bloater (<i>Coregonus hoyi</i>) stocked across bathymetric depths in Lake Ontario
Bibliographic record
Abstract
Bloater ( Coregonus hoyi), extirpated from Lake Ontario in the 1980s, have been stocked annually since 2012 with limited success in re-establishing a self-sustaining population. In this study, hatchery-raised juvenile bloater were tagged with acoustic telemetry high-resolution predation tags and stocked over three depths in Lake Ontario (5, 50, and 100 m) in 2022 and 2023 to quantify survival, causes of mortality, and movement. Time-to-event modelling generated a 3-week survival estimate of 38% (31%–46%; 95% confidence interval) across both years, with lower survival in year 1 (12%; 12%–38%) than year 2 (44%; 33%–59%). The deepest depth (100 m) yielded the highest survival, with mortality due to predation more common at shallower depths, while non-predation mortality, potentially from compression barotrauma, was more prevalent in deeper water. Rapid dispersion following release was observed in both years, with greater distances travelled in 2023. This study revealed low initial survival for stocked bloater that varied between years and stocking depth and highlighted different potential sources of mortality associated with depth, while providing new information for consideration of stocking techniques in large lakes.
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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".