Twenty-four years of Dutch Trig® application to control Dutch elm disease
Bibliographic record
Abstract
Since 1992 elm trees have been treated with a biological control product Dutch Trig ® to protect them from infection by Ophiostoma novo - ulmi causing Dutch elm disease (DED). The active ingredient of the biocontrol product consists of the fungus Verticillium albo - atrum strain WCS850. A conidiospore suspension of this fungus is injected into the vascular system of elm trees at a height of 1.3 m. This biocontrol product prevents healthy elm trees from fungal infection transmitted by elm bark beetles. Dutch Trig ® , however, does not protect already infected trees or trees connected with diseased trees via root grafts. Since 2010, only 0.1 % of the injected elms became infected with DED through beetle transmission and an additional 0.4 % of the treated elms were infected through root contact in the Netherlands. Regression analysis considering all injected elm trees in the Netherlands since 1992 indicated that DED infection through beetle transmission had significantly decreased during the 24 years application of Dutch Trig ® . In 2015, approximately 28,300 trees in five countries (Netherlands, USA, Germany, Canada and Sweden) were treated with Dutch Trig ® to protect valuable susceptible elm trees, mainly in urban environments.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".