Equalizing and conditioning spruce-pine-subalpine fir lumber
Bibliographic record
Abstract
Problems associated with grade recovery in spruce-pine-subalpine fir (SPF) lumber drying have been largely attributed to the wide variation in final moisture content (MC) distribution and drying stresses. Grade recovery is largely affected during planing and re-manufacturing because ofthe development of warp that results from drying stresses. Over 10 sawmills in the interior of British Columbia and Alberta were surveyed. The results indicated that the SPF lumber drying problems related to uneven final MC distribution and warp during re-manufacturing still exist and affect grade recovery. Sixteen kiln-drying runs, using Forintek's experimental 3-foot kiln, were performed using different combinations of 3, 6, 9, and 12 hours of equalizing and conditioning with two types of humidification systems (cold water and low-pressure steam). Initial MC, final MC, and drying stresses were evaluated for drying each run. In general, 9 to 12-hour equalizing/conditioning treatment can significantly reduce the amount of over-dried lumber as well as reduce internal stresses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".