Initial effects of the exploitation of walleye, Stizostedion vitreum vitreum (Mitchill) on the boreal percid community of Henderson Lake, Northwestern Ontario / by Christopher P. Nunan. --
Bibliographic record
Abstract
The effect of large scale exploitation of walleye Stizostedion vitreum \nvitreum on the boreal percid community of Henderson Lake, northwestern \nOntario, was studied from 1979 to 1981. Investigations centered on the two \nmajor predators in the community, the walleye and the northern pike Esox \nlucius. Population estimates were done in 1979, 1980 and 1981, and the accuracy of Schnabel, Schumacher Eschmeyer and Peterson estimates were compared. \nPrevious to exploitation (1979-1980) both walleye and northern pike exhibited the lowest production and P/?B ratios yet recorded for either species (walleye 4-14 yrs, P=1.01 kgha[superscript -1] yr[superscript -1], P/B =0.137; northern pike 7-14 yrs, P=0.716 kgha[superscript -1] yr[superscript -1] , P/?B =0.086). Low production in both species was partially attributed to competition for major prey species, and the small size \nof available prey items. Sticklebacks Pungitius pungltius, yellow perch \nPerca flavescens and mayfly subimagoes Ephemoptera sp. were the most important prey items in the lake. Long-term patterns of prey utilization by both predators showed considerable annual variation. Abundant white sucker and cyprinid species were not important in the diet of either walleye or northern pike, and may represent a net energy loss to the production of these two species.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".