Vertical Position-Based Resistance of Teak Wood (Tectona grandis Linn.f.) Against Wood-Decay Fungi
Bibliographic record
Abstract
In the humid tropics of Indonesia, the durability of traditional wooden structures is challenged by pervasive fungal decay.This study investigated the decay resistance of teak wood (Tectona grandis Linn.f.) as influenced by the stem's vertical position against various wood-decay fungi.Employing a completely randomized factorial design, the research delineated two primary factors: vertical position within the log (bottom, middle, top) and fungal species (control, Schizophyllum commune, Pycnoporus sanguineus, Dacryopinax spathularia).These fungi were selected due to their dual significance as both decomposers and potential threats to wood-based materials.A total of 12 treatment combinations were tested, with each replicated thrice, culminating in 36 experimental wood samples.Results indicated a significant effect of both the log's vertical position and the species of fungus on teak wood weight reduction.A gradation in weight loss was observed vertically along the log, with the least at the bottom (1.84%), increasing at the middle (3%), and peaking at the top (5.38%).Among the fungi, the control exhibited negligible weight loss (0.07%), with D. spathularia (3.56%), P. sanguineus (4.99%), and S. commune (5.04%) contributing to progressive increments in decay.The interaction between the bottom log position and S. commune resulted in the most pronounced weight reduction (7.53%), while the top log position without fungal exposure exhibited the slightest change (0.02%).According to the Indonesian National Standard for wood resistance to rot fungi, teak wood demonstrated a resistance class II against D. spathularia and P. sanguineus, and a lower class III against S. commune.It is recommended that for construction purposes, teak sourced from lower stem positions should be prioritized and maintained under dry conditions with moisture content below the fiber saturation point to mitigate fungal degradation and extend the material's longevity.
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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".