Multiplexed microsatellite markers for genetic studies of beech
Bibliographic record
Abstract
European beech (Fagus sylvatica L.) is one of the economically most important broadleaved tree species in Europe and has become a model for studying climate change effects on forests. Multiplex PCR of microsatellites is a fast and cost-effective technique allowing high-throughput genotyping. Here we present the procedure used to develop two multiplex kits (8-plexes) for European beech. We paid particular attention to quality control throughout all steps of the multiplex kits development (null allele detection, error rate measurements, linkage disequilibrium). Preliminary assays suggest that the 16 amplified loci are largely devoid of null alleles and allow rapid and cost-effective genotyping of beech with low error rates. The two kits, which differ in their levels of polymorphism, most likely due to marker origin, were also informative in seven other beech species tested.
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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 | 0.000 |
| 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 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".