Mechanism for De-aspirating Pits in Subalpine Fir by Steam Explosion Prior to Drying
Bibliographic record
Abstract
Subalpine fir with wet wood (wet pocket wood) is regarded as a species that is difficult to dry. Aspirated pits are one of the principal reasons to block water paths up in wood tracheids. Steam explosion is a technology to improve the dryability of subalpine fir by creating water paths in some aspirated pits. In this study, green subalpine fir lumber was treated with steam explosion. Samples taken from the lumber before and after the treatment were observed with a scanning electron microscope (SEM). Amechanism for de-aspirating pits during the process of steam explosion was proposed based on the understanding of wood anatomy. A series of observations with the SEM verified the mechanism for de-aspiration. The observations also discovered that the fractures in the pits between ray parenchyma cells and earlywood tracheids occurred during the process of steam explosion.
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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) | 0.003 | 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".