Large scale development of selectively amplified microsatellite polymorphic loci (SAMPL) markers in spruce (<i>Picea</i>)
Bibliographic record
Abstract
Abstract The spruce (Picea) species are ecologically and economically important in Canada. Highly informative markers with high multiplex ratios are needed to assist spruce genomics, genetics, and breeding programs. Selectively amplified microsatellite polymorphic loci (SAMPL) markers are highly suitable for these programs. We have developed, optimized, and characterized a set of 10 new SAMPL primers in combination with 16 MseI primers and resolved a large number of polymorphic SAMPL markers in spruce. The SAMPL primers were designed from the compound microsatellite repeats found in Norway spruce (Picea abies) and white spruce (Picea glauca). A total of 6313 polymorphic SAMPL makers were produced by 160 SAMPL–MseI primers combinations in eight progeny of a spruce mapping population.
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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 | 0.001 | 0.001 |
| 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 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".