Cryptic structure and diversity of lake whitefish (Coregonus Clupeaformis) in Ontario waters
Bibliographic record
Abstract
Microsatellite markers were used to assess the genetic population structure of lake whitefish ('Coregonus clupeaformis') in Ontario waters. Within eastern Lake Ontario, fish from Chaumont Bay, New York were differentiated from spawning aggregations in the Bay of Quinte and the south shore of Prince Edward County. Non-significant differences were found among temporal sampling replicates, suggesting that the pattern of genetic variation detected is temporally stable. These same genetic tools were used to assess the distinct population status of Lake Simcoe lake whitefish under the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) guidelines. Although there was marked differentiation among populations from across Ontario, the Lake Simcoe population was no more genetically differentiated than any other population, suggesting that a distinct status is not warranted. This work provides key information for fisheries management and a framework for assessing hierarchical genetic diversity in exploited lake whitefish populations across Ontario.
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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 | 0.001 | 0.001 |
| 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".