Phytochemical comparison of elderberry collections grown in Missouri
Bibliographic record
Abstract
American Elderberry (Sambucus nigra subsp. canadensis) is traditionally consumed as wine, jams, pies, etc. and has garnered more interest as a medicinal product in recent years. There is limited information on the medicinal properties of this less researched subspecies compared to the better known European Elderberry (Sambucus nigra subsp. nigra), which is used in the treatment of colds and flus. Several phytochemicals have been identified in American Elderberry including phenolic acids, flavonols and anthocyanins. Many of these phytochemicals have the potential to be bioactive and can be used in quality assessments of elderberry and related products. Eighteen specimens were collected from various regions throughout the eastern United States that were previously found to have unique phytochemical profiles. These specimens were planted at two different locations in Missouri. The berries were collected in the third growing season and freeze dried prior to phytochemical evaluation. The data were compared between specimens and collection sites to evaluate the impact of genetics and environment. A significant difference in anthocyanin content was observed between the collections. This indicates that some specimens have a higher potential for the development of novel cultivars with enhanced phytochemical contents.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".