Relative Incidence of <i>Erwinia carotovora</i> subsp. <i>atroseptica</i> in Stolon End and Peridermal Tissue of Potato Tubers in Canada
Bibliographic record
Abstract
An enrichment enzyme-linked immunosorbent assay (ELISA) using monoclonal antibody 4F6, which is specific for the lipopolysaccharide antigen of serogroup I strains of Erwinia carotovora subsp. atroseptica, was used to detect the blackleg pathogen in potato seed lots after having confirmed that this serogroup is still the predominant strain of the pathogen in Canada. E. carotovora subsp. atroseptica was detected on <6% of tubers in most seed lots, but the level of tuber contamination increased with the number of field generations. The incidence of E. carotovora subsp. atroseptica was generally greater in tissue taken from the stolon end of tubers than from peel samples, although there was a positive correlation between the bacterium's presence in the two sample types. The incidence of E. carotovora subsp. atroseptica in seed tuber lots was estimated from the results of tests on multiple composite samples, providing a cost effective approach for indexing seed lots for blackleg risk. The incidence of E. carotovora subsp. atroseptica was two and three times greater for both stolon end and peel samples, respectively, after harvest and storage of seed lots compared with tubers hand dug just before commercial harvesting, which suggests that the process whereby tubers become contaminated has both field and postharvest components.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".