Variation in wood density components within and between <i>Quercus faginea</i> trees
Bibliographic record
Abstract
The wood of Quercus faginea Lam. was studied regarding its density variation within and between trees using microdensitometry techniques in 10 trees growing in northern Portugal. The observations were made in mature trees at several height levels (stem base and 1.3, 3.4, 5.5, 7.6, and 9.7 m). Variance analysis was done considering the core cylinder (first 15 rings) and the sheath (last 10 rings) in relation to tree, height level, and ring effects and their interactions. The wood revealed a high mean density of 0.848 g·cm –3 with small differences between earlywood and latewood (0.717 and 0.908 g·cm –3 , respectively). Latewood corresponded on average to 66% of the total ring width, which averaged 2.4 mm. Wood density decreased with height and radially from pith to cambium. However, within-tree variation was of very moderate magnitude although higher for juvenile wood. Variation between trees was also small (6% coefficient of variation of the mean) and higher for the mature wood. Quercus faginea wood compares favourably with other oak species with regard to density characteristics and may be considered for production of quality solid wood products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".