Determination of water flow through clayey slurries using computed micro-tomography
Bibliographic record
Abstract
The purpose of this study was to develop a clear understanding of water flow through clayey slurries. Computed micro-tomography was used to quantify slurry constituents and validate index properties and hydraulic conductivity. An image analysis method was developed to capture the mechanics of flow through clayey slurries that are difficult to quantify through conventional measurement techniques. A solids ratio was defined to identify actual flow paths within a mixture of the solids, water and hydrated grains . Likewise, hydraulic radius was re-defined to describe water flow paths (pore throat) thereby eliminating the measurement of shape factor and tortuosity. More importantly, hydraulic conductivity calculated through the new method (and based on Poiseuille's law) corroborated well with the empirical method of Pane & Schiffman (1997) for flocculated slurries.
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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 | 0.000 |
| 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 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".