Evidence for a genetically distinct population of <i>Exobasidium</i> sp. causing atypical leaf blight symptoms on lowbush blueberry (<i>Vaccinium angustifolium</i> Ait.) in Newfoundland and Labrador, Canada
Bibliographic record
Abstract
The genus Exobasidium includes a number of species that are pathogenic to members of the Ericales, including blueberries (Vaccinium spp.), and Exobasidium leaf spot is an emerging concern for commercial blueberry production. Atypical Exobasidium leaf spot-like symptoms were observed in wild V. angustifolium (lowbush blueberry) in eastern Newfoundland and Labrador, Canada, beginning in 2016. A fungus with morphological characteristics typical of Exobasidium spp. was isolated from symptomatic tissue. The ITS regions from five isolates, and the LSU regions from two, were sequenced and compared with publicly available Exobasidium spp. sequences, including from E. maculosum, cause of Exobasidium leaf spot on V. angustifolium. The isolates collected in this study were genetically distinct from all isolates of E. maculosum, as well as from the other Exobasidium spp. sequences available, suggesting that the isolates described here represent a genetically distinct population belonging to the genus Exobasidium.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".