Genetic variation of populations of<i>Pinus oocarpa</i>revealed by resistance gene analog polymorphism (RGAP)
Bibliographic record
Abstract
Primers based on conserved motifs of plant resistance genes were used to generate multilocus molecular markers--referred to as resistance gene analog polymorphisms (RGAPs)--in Pinus oocarpa subsp. oocarpa. Ten populations from three regions of Nicaragua were analyzed with 53 RGAPs. The aim of this study was to determine the levels of within- and between-population diversity with this kind of marker, and to compare estimates with previously obtained results based on RAPD and AFLP. All populations showed high levels of diversity. GST values and the analysis of molecular variance (AMOVA) revealed most variation to be within populations, although significant differences between populations and regions were also detected. This pattern of genetic diversity was similar to that obtained for RAPD and AFLP, which suggests that variation at RGAP loci as detected in this work is mostly influence by non-selective forces.
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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 | 0.001 | 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".