Isolation and characterization of 11 microsatellite markers from <i>Sagittaria latifolia</i> (Alismataceae)
Bibliographic record
Abstract
We developed 11 microsatellite loci for Sagittaria latifolia, an aquatic plant common to wetlands of North America. From an (AG)-enriched library, we identified 66 unique microsatellite sequences for which primers could be designed. Twenty-two loci reliably amplified a clear single band of expected size, and 11 loci were scoreable and polymorphic. For these 11 loci, we genotyped a monoecious and a dioecious population, yielding four to 14 alleles per locus. Three loci exhibited significant linkage disequilibrium leaving eight independent variable loci. Eight loci also amplified in four other Sagittaria species. These microsatellite loci will be useful to compare genetic structure among monoecious and dioecious populations of S. latifolia.
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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".