Effect of process parameters on fungal resistance of MDF panels
Bibliographic record
Abstract
A study was conducted at Forintek Canada Corporation to investigate the effects of different refining process conditions and resin contents on mold growth rates. A refining experiment was carried out with a fractional factorial design. Preheating retention time, steam pressure, resin content, and panel density were chosen as the factors, each at two different levels. Twenty-four laboratory panels were made with eight different manufacturing processes. Mold growth on the medium density fiberboard (MDF) panels was quantified according to a modified ASTM standard (D 3273-94). Experimental results showed that preheating temperature and moisture content at the completion of the mold growth test positively correlated to the mold growth rate. Mold growth rate was lower with higher panel modulus of rupture (MOR) tested after a 1-hour boiling treatment and higher initial moisture. To a lesser extent, mold growth was reduced with increased resin content and dry panel MOR.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".