Microsatellite markers useful throughout the genus <i>Dianthus</i>
Bibliographic record
Abstract
Using repeats found in sequences from Dianthus species present in the EMBL database, primers for STMS (sequence-tagged microsatellite site) analysis were developed and tested. Five loci were polymorphic and amplified products of sufficient quality in nearly all of the 26 Dianthus species tested, except MS-DINGSTA, which amplified in only one-third of the species. Loci MS-DINMADSBOX and MS-DCDIA30 produced allele series that were mostly two nucleotides (the repeat unit) apart. MS-DCAMCRBSY and MS-DINCARACC also amplified regular series of alleles, but more than two fragments per individual were detected in a number of species. Both loci code for a member of the ACC synthase gene family. The observation that the loci amplified across a wide range of Dianthus species may imply that the different species within the genus are relatively closely related. Alternatively, it may indicate that the regions selected for primer design (some of which are in coding regions) are well conserved. These microsatellites will be useful for the measurement of genetic diversity in natural populations of Dianthus species and the identification of carnation varieties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".