On-site applicable diagnostic fluorescent probe for fire blight bacteria
Bibliographic record
Abstract
Fire blight is a representative plant infection that contaminates edible plants and causes socio-economic problems in agricultural and livestock industries globally. It is caused by the pathogen Erwinia amylovora ( E. amylovora ) creates lethal plant necrosis and spreads rapidly across plant organs. We newly disclose the fluorogenic probe B-1 for real-time on-site detection of fire blight bacteria for the first time. B-1 exhibited no emission signals but manifested bright emission properties in the presence of fire blight bacteria. Based on these features, fluorescence imaging of the fire blight bacteria and its real-time detection from the infected host plant tissues were conducted. The detection limit against E. amylovora was 10 2 CFU/mL, which had excellent sensitivity. The fluorogenic probe-based on-site diagnostic technology was supplemented by introducing a new portable UV device. This work holds enormous potential to be a new advanced tool for detecting fire blight in agricultural and livestock industries.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".