Distribution and ecological associations of Hypovirus spp. in Cryphonectria parasitica in Castanea dentata
Bibliographic record
Abstract
One hundred twenty six isolates of 'Cryphonectria parasitica' were sampled from American chestnut trees in southern Ontario and assessed. Nineteen (15%) isolates had reduced growth on PDA, reduced virulence in apples, and contained dsRNA and, therefore, were considered putative hypovirulent isolates. Double-stranded RNA extractions in combination with Reverse Transcriptase-PCR reactions indicated that 109 (86%) isolates of 'C. parasitica' contained either dsRNAs assumed to be associated with fungal viruses, or a ' Hypovirus' sp. The number and size of dsRNA fragments varied, and the detection of 'Hypovirus' spp. was not always associated with dsRNA detection. 'Hypovirus' species CHV-1, CHV-3, and CHV-4 were identified in 1, 4, and 6 counties, respectively. Comparison of selected isolate, tree, and site characteristics indicated that no relationships existed between tree site and the presence of 'Hypovirus' spp. Significant correlations did exist between the presence of 'Hypovirus ' spp. and tree location, canker type, tree size, and reproductive status of the tree.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".