Improved Complex Permittivity Measurement and Data Processing Technique for Soil-Water Systems
Bibliographic record
Abstract
Abstract The complex permittivity of soil-water systems is a function of a number of soil properties. By measuring the complex permittivity, one could quantitatively evaluate the soil behavior under existing conditions in the field, as well as identify changes in the environment. This paper describes the improvement of a measurement and data processing technique for the analysis of the complex permittivity of soil. A sample holder described in a previously published study is modified to reduce errors from sample handling and to increase the measurement accuracy and capacity. A modular unit is designed to measure the static conductivity and the complex permittivity of the soil simultaneously. The data processing technique is also presented, including the identification of the frequency for data analysis and extraction of the static conductivity from the measured loss factors. The results of the complex permittivity measurements on a compacted natural clayey till are presented to demonstrate the typical relationships of the soil complex permittivity as they are related to the soil volumetric water content, bulk density, and salinity.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".