Leaf spot of <i>Kerria japonica</i> caused by <i>Diaporthe pescicola</i> in China
Bibliographic record
Abstract
This article reports the first known occurrence of leaf spot of Kerria japonica caused by Diaporthe pescicola in China and worldwide. Leaves of K. japonica with leaf spot symptoms were collected in September 2020 from Nanjing, Jiangsu, China. Leaf lesions were of irregular shape and sizes forming mostly in the middle of the leaves, and most of the lesions were white and hazel in colour. A fungus was isolated from diseased leaves and identified as Diaporthe pescicola based on morphological features and multigene phylogenetic analysis of the internal transcribed spacer (ITS) region, elongation factor 1-alpha (EF1-α), beta-tubulin (β-tub), histone H3 (HIS) and calmodulin (CAL) genes. Three strains of isolated fungus caused leaf spot symptoms on inoculated wounded leaves of K. japonica, which were similar to the natural symptoms observed in the field. This disease greatly reduces the ornamental value of affected plants, and identification of the pathogen is significant for the prevention and control of the disease.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".