Effects of <i>Fomitiporia punctata</i> on the growth and wood quality of red oak
Bibliographic record
Abstract
Fomitiporia punctata (P. Karst) is generally considered as a saprotrophic fungus; however, it has recently been observed on living trees, exclusively affecting hardwoods, particularly red oak, a species of major importance in North America both economically and ecologically. The fungus causes cankers and internal damage such as decay or coloration, therefore affecting wood quality. This study aimed to understand the variables associated with the occurrence of the fungus and to evaluate the internal spread of the pathogen in relation to external tree characteristics. Forty-five trees were selected in a red oak plantation established in 1993. The sample trees were felled and sawn, the resulting boards photographed, and the images analyzed to delineate the extent of affected wood on each board. In total, nearly 20% of the trees in the plantation were affected by Fomitiporia punctata. The most significant factors for predicting infection occurrence were the diameter at breast height of the tree and whether it had undergone formative pruning. Trees that had been pruned showed a lower probability of infection. Regarding wood quality, decay and discoloration were mainly concentrated in the lower 2.5 m of the stem. Finally, an increase in the proportion of decayed wood was also observed in relation to the number of entry points and the presence of cankers.
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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".