Characterizing Liquid Resin Penetration In Wood Using A Mercury Intrusion Porosimeter
Bibliographic record
Abstract
A method has been developed to characterize resin penetration by measuring the change in the pore size distribution and porosity of samples with and without resin using a mercury intrusion porosimeter.The method was used to study the liquid phenol-formaldehyde resin penetration in birch and aspen veneer samples as a function of different curing conditions.For both the birch and aspen samples, the liquid PF resin was found to penetrate mostly into the bigger pores (diameter 40 m for birch/LPF and diameter 10 m for aspen/LPF) for specimens cured in the oven.Resin penetrated into the smaller pores under the influence of pressure when cured in a hot-press, especially when the specimens were cured at face location in the hot-press.Under all curing conditions, some resin only partially filled some pores and resulted in an increase in pores of smaller sizes.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| 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 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".