DNA barcoding reveals CITES-listed species among Taiwanese government-seized chelonian specimens
Bibliographic record
Abstract
Compared to traditional morphological identification, DNA barcoding-molecular identification based on sequencing of a segment of mitochondrial cytochrome c oxidase subunit I (COI)-provides a shortcut to authenticating chelonian identifications. Here, we selected 63 government-seized chelonian specimens deposited at Taipei Zoo for DNA barcoding analysis. DNA barcoding and subsequent phylogenetic analysis successfully authenticated 36 chelonian species, including five that are listed in CITES Appendix I. Approximately 90% (57/63) of the specimens were successfully authenticated by our molecular approach, but lack or error of BOLD reference sequences, biological processes such as hybridization, and uncertain species delimitation all reduced the accuracy of DNA barcoding. To increase the accuracy of DNA barcoding, Taipei Zoo will continue to enrich the BOLD database and also establish a genetic database, to include additional genetic markers, by using government-seized chelonian specimens. A fast and accurate method to authenticate seized samples could assist law enforcement agencies to prosecute criminals and restrict illegal exploitation of wild chelonian resources.
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How this classification was reachedexpand
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 | 0.000 |
| 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 teacher head, 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".