An examination of the post‐planting success of hatchery brook charr possessing different mitochondrial DNA haplotypes
Bibliographic record
Abstract
Previous mtDNA and allozyme studies of brook charr Salvelinus fontinalis from northern Ontario lakes that had been extensively stocked with a government hatchery strain, yielded results that were incongruous with a neutral theory of selection in the mtDNA genome. A single haplotype (haplotype 1) predominated in all the fish sampled from these lakes, which is consistent with the observed distribution of this haplotype in northern portions of the species range. However, haplotype 1 does not occur in a high frequency within the hatchery strain. In a direct survivorship experiment, of 1500 fish stocked into an Ontario lake in the spring of 1994 containing a native population of brook charr, no significant differences between stocking and recapture mtDNA distributions were observed in the summer of 1994. However, a survey of young of the year in the following spring did not reveal the presence of any ‘private’ hatchery haplotypes. Significant differences in the distribution of mtDNA haplotypes were observed in two stocked lakes compared to those in the putative source hatchery strain. Haplotype 1 predominated in both these stocked lakes, suggesting that fish with this haplotype possessed increased survivorship.
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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 | 0.001 | 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 | 0.000 | 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".