The 2019 Potato Wart Disease workshop: shared needs and future research directions
Bibliographic record
Abstract
Potato wart disease is caused by the fungus Synchytrium endobioticum. A workshop on this disease was held in June 2019 at the Dutch National Plant Protection Organization (NPPO‐NL) in Wageningen, the Netherlands. Over 60 participants from 20 countries and 36 organizations came together to share their knowledge via presentations and posters, to strengthen professional networks, and to identify shared needs and future directions for S. endobioticum research. The three major topics of the workshop were disease occurrence and management, understanding the pathogen, and host breeding and resistance. Many aspects of this disease were discussed and summarized in a shared statement. Future directions identified were (1) research initiatives are currently being initiated to develop standardized molecular viability tests and a molecular pathotyping test, (2) coordination is needed to come up with better standardization of the pathotyping bioassays and the set of differential cultivars described in EPPO PM 7/28 needs to be better available for testing, and (3) stacking of resistance genes is strongly recommended but resistance breeding alone is not enough and should be combined with other management strategies to contain potato wart disease. Furthermore, the attendees remarked that organizing a workshop every 2 or 3 years would be of great benefit to the potato wart disease research community.
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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 | 0.033 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.036 | 0.011 |
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".