Chemical and morphological modification of softwood and hardwood surfaces by an oxygen glow discharge plasma
Bibliographic record
Abstract
High-energy radiation preferentially degrades cellulose and enriches lignin content at wood surfaces particularly in hardwoods. Accordingly, we hypothesize that a similar effect will occur at surfaces exposed to plasma. We test this hypothesis by plasma-treating pine and poplar veneers and assessing changes in the lignin and holocellulose-derived sugar-content of veneers; quantifying etching of pellets containing lignin and cellulose, and observing etching of different cell wall layers in pine and Homalium. The majority but not all of our results support our hypothesis. Lignin-rich regions of wood cell walls were easier to see after plasma treatment. We discuss the potential uses of plasma-etching for the study of wood ultrastructure and the creation of wood surfaces with self-bonding properties, and conclude that plasma-etching can be used as an alternative to chemical pretreatments for ultrastructural studies of the distribution of lignin in wood cell walls.
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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".