Inbreeding Depression in Picea rubens Core, Marginal, and Edge Populations of the Eastern United States
Bibliographic record
Abstract
Picea rubens is a species of spruce native to the eastern United States and Canada. Red spruce populations have been fragmented, creating small isolated populations throughout the southeastern U.S., leading to inbreeding and susceptibility to the effects of inbreeding depression. This study will look at inbreeding depression in relation to population size and inbreeding history in 340 families of red spruce trees from core, marginal, and edge populations throughout the eastern United States. Four measures of fitness will be used to calculate seedling relative fitness for the 340 families, including: seed mass, germination proportion, survivorship, and growth rate. Exome sequencing will be done for each of the 340 families that will be used to compare heterozygosity and inbreeding history among individuals and sites. Relating relative fitness to inbreeding history and population size will give insights to inbreeding depression overall, and the potential impacts on the future of red spruce conservation efforts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 teacher head, 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".