Phylogeography, genetic isolation, and migration of deep-sea fishes in the South Atlantic
Bibliographic record
Abstract
According to the comparative analysis of spatial patterns of the genetic variation at cox1 mtDNA in bathy- and mesopelagic fish (Myctophidae, Sternoptychidae, Gonostomatidae, Phosichthydae) inhabiting the South Atlantic the species under study are divided into two groups. The division takes place at the levels of families, subfamilies, and genera. The first group (“migrants”) is characterized by low indices of genetic diversity and lack of spatial divergence. In the second group (“resident” species), the genetic diversity is much higher and haplotypes are segregated into separate clades with a clear regional localization (on the scale <400 km). The main barrier for genetic migration coincides with the hydrographic boundary between the subtropical gyre and the South Equatorial Current at depths below 400 m. The considered mechanisms for passive transfer regulation use vertical physical factors, which are associated primarily with adaptations of the species to different trophic niches. It is assumed that “migrants,” which are probably less specialized species, may take advantage of the passive transfer for better spreading along their ranges, while in “resident” species, restricted migration may help to preserve local adaptations in populations. A deep spatial genetic divergence, considering the previously detected ecomorphological heterogeneity, allows one to treat some “resident” species as polytypic and to advance the taxonomy rank of certain populations.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".