Compactable Porous and Fibrous Beds Formed from Dilute Pulp Suspensions
Bibliographic record
Abstract
A systematic experimental investigation of the formation of compactable fibrous mats from dilute pulp suspensions (8.00 kg/m 3 fiber concentration or 0.533 vol % of solid) has been performed over a range of vacuum levels (10.0−66.7 kPa). An instrumental apparatus with a computerized data-acquisition system measured the operating vacuum and filtrate flow rate. The dynamic behavior of the mat formation process, in a transparent plastic filtration cell, was observed and videotaped. Dynamic fiber concentration profiles along the mat formation direction were inferred from the standard images using a gray-scale analysis calibrated against a set of known concentrations. A modified filtration model for compactable fibrous mat formation was proposed on the basis of Tiller's filtration theory. The model captures the filtrate flux and mat thickness as functions of time and operating vacuum for a compactable mat, which have not been reported previously in the literature.
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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 | 0.001 |
| 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".