Etiology of leaf blight of Chinese brush (<i>Baccharis conferta</i> Kunth) in Mexico
Bibliographic record
Abstract
Bacchiaris conferta Kunth, a native plant used in traditional Mexican medicine, is now considered an important source for drug discovery and development, as it produces metabolites of pharmacological interest. In May 2022, leaf blight symptoms were observed in B. conferta plants growing in the Iztaccihuatl–Popocatepetl National Park. The disease incidence was 80%, while the severity was 12%. Diseased samples were collected to isolate the fungi associated with the disease . The recovered isolates were categorized by morphotypes, and a single isolate was randomly selected to be culturally and molecularly characterized, as well as to demonstrate its pathogenicity. According to the findings, the organisms responsible for leaf blight in wild B. conferta plants are Arcopilus cupreus (L.M. Ames) X. Wei Wang & Samson and Lophodermium pini-excelsae S. Ahmad. This is the first report of Arcopilus cupreus and Lophodermium pini-excelsae causing leaf blight in B. conferta plants.
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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".