The use of RAPD markers to distinguish among juniper and cedar cultivars
Why this work is in the frame
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Bibliographic record
Abstract
Two species of Chamaecyparis and six cultivars each of Juniperus chinensis L. and Juniperus scopulorum Sarg. (Cupressaceae) were subjected to random amplified polymorphic DNA (RAPD) analysis using seven primers. Unweighted pair group method with averages (UPGMA) and principal component analyses of genetic distances between cultivars showed that 42 polymorphic RAPD bands could distinguish among all cultivars and properly group them by species and genera. Where the origin of a specific juniper cultivar is uncertain, analysis of genetic distance can pinpoint close relatives. For example, we were unable to trace the origin of J. chinensis 'Alps', and we initially thought it was a mislabeled J. chinensis 'Blue Alps'. However, we found 'Alps' to be closer to J. chinensis 'Fairview' and 'Mountbatten' than to 'Blue Alps'. Similarly, 'Wichita Blue' has an unknown origin, but it had the highest genetic similarity with 'Medora'.Key words: juniper, cedar, RAPD, cultivars, phylogenetics.
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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 | 0.001 |
| 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 it