Investigating the Fundamental Parameters of Cake Filtration using a Gravity Column Device
Why this work is in the frame
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Bibliographic record
Abstract
A column device equipped with an imaging system was used to estimate the permeability of filter mesh, and the porosity and permeability of filter cakes formed by the filtration of wastewater. Synthetic wastewater samples containing polyethylene microspheres with mono-sized and bi-modal size distributions prepared and the effect of particle size and its distribution on filter cake permeability and porosity were investigated. Using actual wastewater samples, changes in filter cake porosity and permeability during the gravity drainage process were investigated. Based on the initial slope of the drainage curve, the filter mesh permeability was estimated. A mathematical model was developed based on Darcy's law to predict the drainage rate and the height of wastewater during the column filtration process with an average error of less than 7%. Experimental drainage data collected for various water column heights suggest that cake compressibility may play a role in the drainage of wastewater.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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