Wood Properties of Nine Acetylated Tropical Hardwoods from Fast-Grown Plantations in Costa Rica
Bibliographic record
Abstract
The treatment of acetylation on tropical woods is influenced by their different levels of permeability and how these affect the weight percentage gain (WPG) in acetylated wood. The objective of the current study was to identify the effect of acetylation on the thermal stability, color, physical properties, hygroscopic and dimensional stability, wetting rate, and durability of nine tropical species of woods used for the commercial reforestation in Costa Rica. Study results showed that WPG varied from 2.2% to 16.8%. Positive significant correlations were observed between WPG and pre-exponential factors in TGA analysis and two parameters of dimensional and hygroscopic stability, whereas a negative correlation was observed with water absorption. In species with a WPG of over 10% (Vochysia ferruginea, V. guatemalensis, Cordia alliodora, and Enterolobium cyclocarpum) the thermal stability, wetting rate, hygroscopic stability, and resistance to biological attack showed an increase while swelling, and water absorption decreased. For these species, the best behaviors were obtained with an acetylation time of 2.5 hours and WPG values of over 10%. The same properties of wood in species with a WPG under 5% were found to be less affected by the different acetylation times and showed little difference in relation to untreated wood. Finally, the analysis showed that the dimensional stability obtained was attributed to the reduction of the absorptive capacity of the acetylated wood.
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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 | 0.000 | 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) | 0.000 | 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".