Performance Evaluation of Equipment Used for Volumetric Water Content Measurements
Bibliographic record
Abstract
Various methods can be used to evaluate in situ volumetric water content; however, when continuous measurements are required, only dielectric methods can be used. For equipment based on these methods, in the mining environment and particularly in environments having high sulfide contents (or acid-generating minerals), the accuracy of measurements can be affected by the chemistry of the solid and liquid phases. To evaluate the real impact of water chemistry and mineralization on volumetric water content measurement, three instruments were tested on five materials with varying sulphur contents and two types of water mineralization. \n \nThe results of these investigations show that: i) increasing sulfur content of mine tailings increases the response output of the tested probes; ii) the obtained volumetric water contents are systematically higher than the real volumetric water contents obtained gravimetrically; iii), time-domain reflectometry probes are able to provide measurements in materials with high sulphur contents; and iv) 5TM and GS3 probes are not suitable for use in reactive materials with higher sulphur contents.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".