CALIBRATION OF WHATMAN GRADE 42 FILTER PAPER FOR SOIL SUCTION MEASUREMENT
Bibliographic record
Abstract
The filter paper technique consists of obtaining the equilibrium water content of a filter paper that is either in direct contact with a soil sample or inside an airtight container together with the sample but not in direct contact with it. After the final water content of the filter paper is determined, the suction in the soil is estimated from a previously established calibration curve relating the filter paper water content and suction. The ASTM D5298-10 calibration curve is routinely used for indirect suction estimation from Whatman Grade 42 filter paper water content measurements. This note identifies limitations in the calibration curve in ASTM D5298-10 that lead to inaccuracies in the estimation of suction values, particularly for very low filter paper water contents. The paper proposes new equations not subject to these limitations for the calibration curve for Whatman Grade 42 filter paper using the same data used to construct the calibration curve in ASTM D5298-10.
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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 | 0.001 | 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 | 0.001 |
| 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".