Age, Growth, and Mortality of a Trophy Channel Catfish Population in Manitoba, Canada
Bibliographic record
Abstract
Abstract The Red River of the North (Red River) is managed with a unique set of regulations aimed at conserving the age structure and size structure of a trophy Channel Catfish population. Although these regulations have been in place for >20 years, current population dynamics have not been evaluated postregulation. Our objectives were to (1) document dynamic rate functions (i.e., growth and mortality), age structure, and size structure of Channel Catfish in the lower Red River, and (2) compare current population dynamics with historical conditions in the lower Red River and other populations. We documented a maximum age of 27, and ages greater than 20 were common (7%). We estimated an annual mortality rate of 0.19, which was similar to mortality estimates for Channel Catfish in the Red River from the USA. Growth rates for individuals ages 3–10 were similar among our study, historical growth estimates, and upstream estimates. Conservative harvest regulations appear to be preserving the desired age structure and size structure of Channel Catfish in the lower Red River, and this study may provide insight into unique management possibilities for other systems. Received March 11, 2016; accepted August 1, 2016 Published online October 28, 2016
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".