Authentication of <i>Ginkgo biloba</i> herbal dietary supplements using DNA barcoding
Bibliographic record
Abstract
Ginkgo biloba L. (known as ginkgo or maidenhair tree) is a phylogenetically isolated, charismatic, gymnosperm tree. Herbal dietary supplements, prepared from G. biloba leaves, are consumed to boost cognitive capacity via improved blood perfusion and mitochondrial function. A novel DNA mini-barcode assay was designed and validated for the authentication of G. biloba in herbal dietary supplements (n = 22; sensitivity = 1.00, 95% CI = 0.59-1.00; specificity = 1.00, 95% CI = 0.64-1.00). This assay was further used to estimate the frequency of mislabeled ginkgo herbal dietary supplements on the market in the United States of America: DNA amenable to PCR could not be extracted from three (7.5%) of the 40 supplements sampled, 31 of 37 (83.8%) assayable supplements contained identifiable G. biloba DNA, and six supplements (16.2%) contained fillers without any detectable G. biloba DNA. It is hoped that this assay will be used by supplement manufacturers to ensure that their supplements contain G. biloba.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".