Measurement of wood shrinkage in jack pine using three dimensional digital image correlation (DIC)
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Dimensional stability is one of the most important properties of lumber. Shrinkage is especially critical in this regard. In this study, longitudinal, radial and tangential shrinkages in jack pine ( Pinus banksiana ) have been found to be 0.4, 3.3 and 5.7%, respectively, by means of three dimensional digital image correlation (3D DIC). Full field shrinkage data were extracted from two types of specimen. It was demonstrated that the 3D DIC method is a suitable method of providing localized shrinkage values. The shrinkages in the three anatomical dimensions exhibit different variation patterns from pith to bark. Detailed shrinkage measurements provided data for a better understanding and modeling of shrinkage within a tree stem, which could be useful for lumber distortion simulation.
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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 | 0.000 | 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 | 0.001 |
| 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 it