Augmenting the Detection of Verotoxin-Producing Escherichia coli Through use of Fluorescently-labeled DNA Oligonucleotides
Bibliographic record
Abstract
Verotoxin-producing Escherichia coli (VTEC) present a significant risk of foodborne illness and severe patient outcomes.Isolation is laborious and time consuming due to the diversity of strains.Development of a differential agent would enhance rate and speed of isolation.Production of verotoxin (VT) is the only phenotypic trait exclusive to VTEC.Aptamers are single-stranded oligonucleotides with high selectivity and affinity for their targets.A VT-targeting aptamer beacon could aid in isolation of VTEC.Proof of concept was demonstrated using an existing aptamer sequence, showing increased fluorescence in the presence of VT1a.Further characterization showed target specificity, but weaker signal contrast in complex media.Comparison of fluorophore-quencher pairs showed Texas Red and Black Hole Quenchers as optimal choices.Finally, a DNA substrate developed to detect VT enzyme activity produced weak fluorescent signal making it unlikely to aid in detection.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".