Genetic variation, population structure, and mating system in bigleaf maple (<i>Acer</i><i>macrophyllum</i>Pursh)
Bibliographic record
Abstract
Genetic diversity, population genetic structure, and mating system of bigleaf maple (Acer macrophyllum Pursh) was estimated with isozymes and compared with other North American angiosperms. On average, populations were polymorphic at 61% of the loci, with 1.71 alleles per locus. The mean expected heterozygosity (HE= 0.152) was similar to other North American angiosperms. The level of population differentiation was moderately low (FST= 0.054), indicating extensive gene flow among populations (Nm= 4.39), and there was no isolation by distance. Genetic distances averaged 0.011 and ranged from 0.001 to 0.042, but no relationship between geographic distances was apparent. Outcrossing rates in two populations were high (95%) but significantly less than one, with no biparental inbreeding evident. A relatively high level of correlated matings, consistent with two to five effective pollen donors per tree, was found, indicating that low density and limited pollinator dispersal are prevalent.Key words: isozymes, bigleaf maple, outcrossing rates, population genetics, gene flow, angiosperms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.000 | 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 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".