Ekspresowa Analiza Zagrożenia Agrofagiem: Cocksfoot mottle virus
Bibliographic record
Abstract
Cocksfoot mottle virus (CfMV) has a fairly narrow host plant range and has so far only caused severe losses in Dactylis glomerata production fields. However, recent findings indicate numerous cases of plant infections in wheat fields in Ohio, USA, which may indicate the threat of CfMV to crops of this species as well. In addition, the virus can also infect other economically important cereal species: barley, rye and oats. So far, the presence of CfMV has been found in Europe (Great Britain, Norway, Denmark, France, Germany, Russia), in Asia (Japan), as well as in North America (Canada and the United States) and New Zealand. In Poland, the virus was first detected on D. glomerata plants in Silesia Province in 2016. The natural way for the virus to spread is through transmission by vectors of the horsetails Oulema melanopa and O. lichensis, which are abundant throughout Poland. However, the presence of vectors is not necessary, as CfMV is easily transmitted mechanically with the sap of infected plants through injuries to the plants caused during agrotechnical operations such as mowing, often causing the virus to spread unknowingly in as well as between crops, especially when there are no visible symptoms of the disease. Evidence of this is the successive spread of CfMV in New Zealand, where the virus vectors are not present. Plant protection against viruses involves systematic inspection of plant material, in this case mainly D. glomerata, and eradication of infected plants and the insect vectors living on them. In addition, in order to prevent the spread of the virus from all possible sources of infection, it is very important to maintain hygiene during phytosanitary procedures and care by washing and disinfecting machinery and tools.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".