INTROGRESSION VERSUS IMMIGRATION IN HYBRIDIZING HIGH-DISPERSAL ECHINODERMS
Bibliographic record
Abstract
Phylogeographic studies designed to estimate rates and patterns of genetic differentiation within species often reveal unexpected and graphically striking cases of allele or haplotype sharing between species (introgression) via hybridization and backcrossing. Does introgression between species significantly influence population genetic structure relative to more conventional sources of differentiation (drift) and similarity (dispersal) among populations within species? Here we use mtDNA sequences from four species in two genera of sea urchins and sea stars to quantify the relative magnitude of gene flow across oceans and across species boundaries in the context of the trans-Arctic interchange of marine organisms between the Pacific and Atlantic oceans. In spite of the much smaller distances between sympatric congeners, rates of gene flow between sympatric species via heterospecific gamete interactions were small and significantly lower than gene flow across oceans via dispersal of planktonic larvae. We conclude that, in these cases at least, larvae are more effective than gametes as vectors of gene flow.
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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) | 0.001 | 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".