Authentication of garlic (<i>Allium sativum</i> L.) supplements using a <i>trnL<sup>UAA</sup></i> mini-barcode
Bibliographic record
Abstract
Garlic (Allium sativum), a widely distributed plant with great cultural and medicinal significance, is one of the most popular herbal dietary supplements in Europe and North America. Garlic supplements are consumed for a variety of reasons, including for their purported antihypertensive, antibacterial, and anticarcinogenic effects. The steady increase in the global herbal dietary supplement market paired with a global patchwork of regulatory frameworks makes the development of assays for authentication of these products increasingly important. A DNA mini-barcode assay was developed using the P6 loop of the plastid trnLUAA intron to positively identify A. sativum products. Analysis of 43 commercially available garlic herbal dietary supplements produced mini-barcode sequences for 33 supplements, all of which contained detectable amounts of A. sativum. The trnLUAA P6 mini-barcode can be highly useful for specimen identification, particularly for samples that may contain degraded DNA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".