CHARACTERISTICS OF PAPER MILL SLUDGE AND ITS UTILIZATION FOR THE MANUFACTURE OF MEDIUM DENSITY FIBERBOARD
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
De-inking paper sludge (DPS) and primary sludge (PS) containing 20% secondary sludge from a paper mill were characterized as to their suitability for the manufacture of medium density fiberboard. Compared with DPS, PS had a lower ash content, higher holocellulose content, more and longer fibers, lower pH, and higher buffering capacity. These characteristics make PS a better fiber resource for fiberboard than DPS. Fiberboards were manufactured at the Pilot Plant of Forintek (Quebec City, QC, Canada) using virgin spruce-pine-fir fiber (SPF) and PS or DPS at different sludge/SPF weight ratios with 12% ureaformaldehyde resin. At an equal sludge/SPF weight ratio, PS-SPF panels had much higher mechanical properties than did DPS-SPF panels. At a PS/SPF weight ratio of 7:3, the mechanical properties of PS-SPF panels were higher than the requirements of ANSI A208.2-2002 MDF standard for Grade 120 in terms of internal bond strength, modulus of rupture, modulus of elasticity, and thickness swelling. With DPS/SPF weight ratios as low as 3:7, the tested mechanical properties of DPS-SPF panels could meet the requirements of ANSI A208.2-2002 MDF standard for Grade 120.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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