Modification of <i>Pinus sylvestris</i> L. wood with quat- and amino-silicones of different chain lengths
Bibliographic record
Abstract
Abstract The water-related properties of Scots pine (Pinus sylvestris L.) sapwood have been improved by treatment with quat- and amino-silicones of different chain lengths. Standard leaching test and hot water Soxhlet extraction (6 h) showed that the amino-silicones are better fixed in wood than the quat-silicones. A water dipping test (24 h) revealed that both quat- and amino-silicones made wood hydrophobic; however, amino-silicones were more effective in reducing water uptake. The long-chained silicones of both types resulted in higher water repellent effectiveness compared with the respective short-chained silicones. As demonstrated by assessing cell wall bulking, scanning electron microscopy (SEM), and SEM energy-dispersive X-ray analysis, silicones with short chains penetrated the cell wall better than those with long chains regardless of the silicone type. The maximum antishrink efficiency of approximately 60% was attained with short-chained amino-silicone at approximately 39% weight percent gain. The short-chained silicones show more potential to enhance the water-related properties of solid wood and for the development of silicone-based industrial wood modification processes.
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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".