Hydroacoustic assessment of lake trout (Salvelinus namaycush) populations
Bibliographic record
Abstract
This thesis explores the use of hydroacoustic sampling methods to assess the abundance and distribution of lake trout in a single lake. Chapter One focuses upon the development of a target-strength to fish-length relationship for lake trout at a frequency of 120 kHz. A significant and positive relationship was found between target-strength and length (TS = 20 log10 (TLEN) - 65.3) which is comparable to relationships found for other physostomous species of fish. The second chapter applies this relationship to data from monthly acoustic surveys conducted from June--September on a lake trout lake for which mark-recapture population estimates of lake trout are available. Abundance estimates calculated from July, August and September surveys compared favourably to each other and to mark-recapture population estimates. The results of this study suggest that more work is required to determine an optimal sampling season and the sampling intensity required to obtain more precise abundance estimates.
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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 | 0.001 | 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".