Development of STS and CAPS markers for identification of three tall larkspurs (<i>Delphinium</i> spp.)
Bibliographic record
Abstract
One cleaved amplified polymorphic sequence (CAPS) and nine sequence tagged site (STS) markers were developed for identifying tall larkspur (Delphinium spp.) plants in three species based on the DNA sequence of known species-specific RAPD markers. Four STS markers were used for identification of Delphinium occidentale, three STS markers for Delphinium barbeyi, and one CAPS and two STS markers for Delphinium glaucum. One hundred sixty-six individual plants collected at 19 locations in the western U.S.A. were tested using the STS and CAPS markers. Over 95% of the D. occidentale plants contained all four D. occidentale specific STS markers, whereas the remaining plants contained three of the four STS markers. Approximately 97% of D. barbeyi plants contained all three D. barbeyi specific STS markers, and the rest had two of the three STS markers. A small percentage of D. barbeyi plants contained one D. occidentale specific STS marker. Hybrid populations were characterized as having more D. occidentale specific than D. barbeyi specific STS markers, suggesting that the three hybrid populations are composed not of F1 hybrid plants of the parental species but of segregating offspring of different generations from original hybrids. This set of STS and CAPS markers for larkspur species should be useful in classification of unknown plant materials and the identification of hybrid populations.
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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) | 0.001 | 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".