Bibliographic record
Abstract
Matric potential is a measure of the combined capillary and adsorptive forces of soil particles and is imperative for determining both the direction and magnitude of water flow in unsaturated soils. Measuring soil matric potential in semiarid and arid environments is a challenge. Current methods cannot measure the entire range of values, from 0 to −1.5 MPa. The objective of this research was to develop a new sensor capable of measuring the relationship between the dielectric constant of a ceramic core and the range of field soil matric potential values. This instrument uses two Cu TDR rods wrapped around a dual‐threaded Plexiglas core, which is inserted into a porous ceramic block salvaged from damaged Campbell Scientific 229 heat dissipation sensors. The relationship of the ceramic's measured dielectric constant to soil matric potential is determined through a laboratory calibration curve. Calibration of the probe involved the use of a tension table and pressure plate apparatus. The dielectric constant of the probe was measured at a range of points between 0 and −1.5 MPa, and a modified van Genuchten water retention model was used to fit the data ( R 2 = 0.84). The proposed instrument provided an effective method of measuring soil matric potentials from 0 to −1.5 MPa.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".