Regional differentiation of North American Atlantic salmon at allozyme loci
Bibliographic record
Abstract
Allozyme variation was characterised by starch gel electrophoresis at 23 enzyme coding loci and one regulatory locus in Atlantic salmon from 53 rivers in Eastern Canada, encompassing the majority of the species' North American range. Variation among rivers was highly heterogeneous and eight of the 15 polymorphisms showed regionally restricted distributions. Nearest neighbour joining (NJ) analysis and multi‐dimensional scaling suggest six distinct regional groups; Labrador/Ungava, Gulf of Saint Lawrence, Newfoundland (excluding Gulf rivers), the Atlantic shore/Southern Uplands of Nova Scotia, the inner Bay of Fundy, and the outer Bay of Fundy. Approximately 25% of observed genetic variation was distributed among these regions with a weak though significant overall correlation of genetic and geographic distance (Mantel Test, r = 0·255, P = 0·005). Collectively, the rivers showed consistent divergence from European populations with strong bootstrap support for the two clusters across loci in the NJ analysis. Mean heterozygosity was 0·061 for both continental groups, but the European population showed more than twice the variation among populations. FST values were 0·076 and 0·176 for North America and Europe, respectively, with an overall FST of 0·330.
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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 | 0.001 |
| 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) | 0.000 | 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".