Population genetic structure of blanding's turtle(emydiodea blandingii)in New York.
Bibliographic record
Abstract
The loss of genetic diversity is a major concern in conservation biology.As wild populations decline and become more isolated from one another overall genetic diversity is influenced by inbreeding,genetic drift and gene flow.Some of the consequences of inbreeding and genetic drift and gene flow are a decrease in a specie's adaptability and accumulation of deleterious alleles.As wetlands vanish,aquatic species can be permanently isolated with no access to adjacent habitat.I investigated how habitat fragmentation and population isolation are affecting gene flow and genetic diversity in Blanding's turtle(Emydoidea blandingii)populations in New York State.Four county populations(Jefferson,St Lawrence,Saratoga,Dutchess)and an adjacent Ontario population were included in this study.These represent populations both peripheral(Jefferson,St Lawrence,Ontario)and disjunct(Saratoga,Dutchess) to the main range.I found evelated genetic diversity in the populations on the periphery of the main range in the northern section of the state compared to the two eastern,disjunct populations.Subpopulations structuring was also evident in the St Lawrence and Dutchess Co 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 | 0.000 |
| 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".