Population structure within the Hard Maple complex
Bibliographic record
Abstract
Sugar maple (Acer saccharum Marsh.) is the most economically important member of the Hard Maple species complex, a group of related species that occupy a range between Canada and Mexico, which are adapted to distinct ecological niches. Sugar maple has been identified as vulnerable to rapid climate change, and sustainable solutions are needed to support its role in the production of maple sugar, as well as timber and nursery production in the northeastern United States. Genetic relationships among sugar maple and its allies are largely unknown. In the current study, genetic relationships of 278 individuals from six hard maple species were assessed using 17 multi-allelic microsatellite (SSR) loci. Genetic variance was partitioned into separate components for variation within and among populations and within and among species. Most of the divergence among populations (FPT = 0.263) reflected interspecific divergence (FST = 0.169), but provenances within species also differed at nontrivial scales (FPS = 0.113). Estimation and testing of paired interprovenance divergence showed that all population pairs were statistically divergent. Principal coordinates analysis indicated that the pattern of radiation observed among these taxa is broadly compatible with geography.
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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 | 0.001 | 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".