Erwinia amylovora: Modern Methods for Detection and Differentiation
Bibliographic record
Abstract
Erwinia amylovora is the causative agent of fire blight, a very destructive disease of numerous members of the rosaceae. The primary route of infection for host species, including commercially grown apple and pear, is the newly opened blossom. Susceptibility of flowers to infection for only a few days creates narrow window for infection. Not surprisingly, the risk of disease is related to E. amylovora population size. As a result, methods that supply quick, accurate and sensitive quantification of the pathogen population are important tools for determining the need for and the efficacy of disease control intervention. Plating samples and assessing colony-forming units constitutes an accurate and sensitive but slow method. Endpoint PCR is quick and sensitive but is not particularly amenable to quantification. We describe a real-time PCR procedure that provides all requirements. This method is based on chromosomal genes rather than on the pEa29 plasmid and so can be used to measure isolates that have been cured of the plasmid. The method has been used very successfully in directly quantify whole E. amylovora cells, in a variety of tissues from the orchard environment.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.009 |
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".