Fibre fractionation using air‐sparged hydrocyclone
Bibliographic record
Abstract
Abstract Fractionation of mechanical wood pulp into two or more streams on the basis of fibre length has been investigated to recover valuable long fibres from virgin or recycled wood pulp. An air‐sparged hydrocyclone was used to fractionate the pulp at feed mass concentrations (consistencies) of 0.15% and 0.30%. The extent of fibre fractionation, as affected by feed flow rate, air flow rate, ratio of overflow to underflow rates, was studied. As well, the effects of pore size of the air sparger and cyclone length are presented. It was found that at low consistencies of the pulp feed, the overflow stream from the hydrocyclone had a significantly longer average fibre length than that of the feed pulp. The feed pulp consistency, feed flow rate, air flow rate and the ratio of overflow to underflow flow rates had a direct effect on the fractionation performance.
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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 | 0.000 |
| 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) | 0.001 | 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".