Early stages of decay in <i>Eucalyptus grandis</i> trees inoculated with brown-rot fungi
Bibliographic record
Abstract
In natural ecosystems, brown-rot fungi are major biodegrading agents of standing trees and dead wood. Decay caused by basidiomycetes results in structural instability and therefore negatively affects the quality and quantity of the produced wood. Fungal attack can also trigger defense mechanisms within the tree aimed at delaying or halting the progress of infection. As these defense mechanisms can decrease the value of the wood, their identification and study are of foremost importance. In this work, healthy trees of Eucalyptus grandis W.Hill — a widely commercialized species in Uruguay — were inoculated with Laetiporus sulphureus and Gloeophyllum trabeum. The decay process was characterized in terms of chemical and anatomical changes, and the defense mechanisms elicited by the tree were identified. Three months after inoculation, no symptoms of infection could be detected with the naked eye; however, microscopic analysis revealed anatomical and chemical changes (weakening, delamination, and rupture of vascular and parenchymal cells) and decreased holocellulose and lignin contents. Compartmentalization and the production of kino were used by the tree as defense mechanisms.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".