Aziatische essenprachtkever in aantocht
Bibliographic record
Abstract
Aziatische essenprachtkever in aantocht"Het is niet de vraag of ie komt, maar wanneer ie komt."Volgens Rimvydis Vasaitas, Litouwse onderzoeker van de Swedish University of Agricultural Sciences, is het vrijwel onmogelijk om de opkomst van de Aziatische essenprachtkever (Agrilus planipennis) te stoppen.Hij deed jarenlang onderzoek naar de verspreiding van de kever. Foto: Eduard Jendek/EPPOAgrilus planipennis komt oorspronkelijk uit Oost-Azië.De Aziatische essenprachtkever houdt vooral van verschillende soorten essen, zoals de smalbladige es (Fraxinus angustifolia), de gewone es (F.excelsior) of de pluim-es (F.ornus).De larve van de essenprachtkever richt de grootste schade aan, door zigzaggende gangen in het cambium van de boom te knagen, waarbij de boom vaak volledig geringd wordt.De bast valt eraf en de boom sterft.De essenprachtkever doodde al miljoenen essen in onder andere de Verenigde Staten, Canada en Rusland.In 2019 werd de kever ook gesignaleerd in Oekraïne en in september 2020 werd het insect gevonden in Sint-Petersburg, Rusland.Ook hier werden vele essen gedood, met name in de historische parken die de stad rijk is.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.017 |
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".