A Rapid Method for Determining the Extractives Content of Wood Pulp
Bibliographic record
Abstract
Accelerated solvent extraction (ASE) with acetone is used to extract thermomechanical wood pulp (TMP). The quantity of extracts obtained through ASE is compared with that acquired using acetone in the standard Soxhlet procedure of the Canadian Pulp and Paper Association (CPPA test method G20). The content, by weight, of acetone-soluble extractives in the TMP is 2.00 ± 0.05% as determined using ASE and 1.81 ± 0.02% as determined by Soxhlet extraction. The relative standard deviation of the ASE determination (2.6%) is slightly larger than that of the Soxhlet determination (1.1%) because of the smaller sample size used in ASE. Analysis of the extracts indicates that ASE and Soxhlet extraction acquire similar amounts of the fatty acids, resin acids, and sterols present in the TMP. In addition, ASE extracted a greater amount of lignin from the TMP than did the Soxhlet procedure. In terms of the overall efficiency, ASE was 30 times faster and used 75% less solvent than Soxhlet extraction.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".