Ekspresowa Analiza Zagrożenia Agrofagiem: Diaporthe vaccinii
Bibliographic record
Abstract
Diaporthe vaccinii is one of the most important plant pathogens of the genus Vaccinium. It causes the greatest losses in nurseries producing planting material (highbush blueberry, large-fruited cranberry) and fruit plantations. There is a real risk of the pathogen spreading throughout the country, especially since Poland's climatic conditions are suitable for its development. The presence of the pathogen in Poland was already recorded in 2013 on an experimental plantation of large-fruited cranberry. The most important route of penetration is the importation of infected plants from Canada and the US or propagation of infected planting material produced in the country. Subjecting plants imported from native sites and nurseries where the pathogen has already been present to strict controls significantly reduces the possibility of spread. In case of characteristic disease symptoms in nurseries producing seedlings and fruit plantations, it is necessary to carry out fungicide sprays and destroy infected plants. The pathogen can also occur in the form of small disease habitats on plants grown in allotments or home gardens. If the pathogen enters the environment, there is a risk of its survival and spread, including to wild species in Poland (their susceptibility to infection by D. vaccinii has probably not been subjected to detailed analysis).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".