Isotope-encoded tetrahedral DNA for multiple SARS-CoV-2 variant diagnosis
Bibliographic record
Abstract
The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed an unprecedented demand for accurate and cost-effective diagnostic assays to discriminate between different variants. Whilst many bioassays have been successfully demonstrated for SARS-CoV-2 detection, diagnosis of its variants remains challenging and mainly relies on time-consuming and costly sequencing techniques. Herein, we proposed a triplevalent tetrahedral DNA nanostructure (tTDN) with three overhang isotope probes capable of multiplex simultaneous analysis. HV69/70 del (alpha-specific), K417N (beta-specific) and T478K (delta-specific) and omicron with common mutations above of the SARS-CoV-2 S gene were detected selectively with the aid of the TDN scaffold and MNAzyme system, and a sensitive strategy enabling the screening of four kinds of variants of concern (VOC) was achieved.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".