Seasonal habitat selection by lake trout (Salvelinus namaycush) in a small Canadian shield lake
Bibliographic record
Abstract
The need for cold, well-oxygenated waters significantly reduces the habitat available to lake trout (Salvelinus namaycush) during stratification of small temperate lakes. We examined their spatial and pelagic distribution over two consecutive summers and winters to test whether winter increased habitat availability and access to prey in littoral regions. Telemetry methods involved the implantation of pressure-sensing acoustic transmitters, which were monitored by passive receivers and an automated positioning system. In winter, lake trout had a narrowly-defined pelagic distribution (6 m) and widely distributed throughout the lake. Trout winter distribution appeared to be strongly influenced by ambient light levels; snow depth and day length accounted for up to 69 % of the variation in daily median fish depth. More restricted habitat use during winter than summer refutes our original prediction and illustrates that a different suite of environmental factors influence seasonal lake trout distribution.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".