Express barcodes: racing from specimen to identification
Bibliographic record
Abstract
Although devices combining microfluidic and advanced sequencing technologies promise a future where one can generate a DNA barcode in minutes, current analytical regimes typically involve workflows that extend over 2 days. Here we describe simple protocols enabling the advance from a specimen to barcode-based identification in less than 2 h. The protocols use frozen or lyophilized reagents that can be prepackaged into 'kits' and support barcode analysis across the animal kingdom. The analytical procedure allows 5 min for DNA extraction, 25 min for polymerase chain reaction amplification of the barcode region, 25 min for cycle-sequencing, 10 min for cleanup, 45 min for capillary sequencing and 5 min for trace file analysis to complete DNA-based identification. This study involved the comparison of varied DNA preservation and extraction methods, and evaluated Taq polymerases with high processivity and resistance to inhibitors.
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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 | 0.003 |
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; both teacher heads agree on what is shown here.
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".