Genetic diversity and population structure among northern bottlenose whales,<i>Hyperoodon ampullatus,</i>in the western North Atlantic Ocean
Bibliographic record
Abstract
To assess population structure and genetic diversity among northern bottlenose whales (Hyperoodon ampullatus), we compared mitochondrial DNA control region sequences from three populations in the western North Atlantic Ocean. Skin-biopsy samples were collected from animals in the Gully off Nova Scotia, Canada, in 1996 and 1997 (n = 20), and teeth were obtained from whales taken in Davis Strait off northern Labrador (n = 20) and off northern Iceland (n = 5) between 1967 and 1971 by the historical Norwegian fishery. Only low levels of genetic diversity were found among the 45 animals sampled (three polymorphic sites over 434 base pairs defining four haplotypes; haplotype diversity (h) = 0.57, nucleotide diversity (π) = 0.0015). The cause of this low variability is unclear but may be due to a possible bottleneck event associated with the last glaciation. The distribution of mitochondrial DNA haplotypes between the Gully and Davis Strait populations was suggestive of regional differentiation (FST= 0.118, P = 0.024; ΦST= 0.145, P = 0.007). Animals taken off northern Iceland were not included in statistical analyses of population structure, owing to the small sample size. These data, in conjunction with other information collected to date, indicate that the Gully and Davis Strait populations should be considered separate stocks for management purposes.
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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 | 0.000 |
| 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) | 0.000 | 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".