Geophysical Monitoring Of Salt Remediation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A site near Devon, Alberta was used to monitor salt transport over time and test the effect of irrigation. Direct push EC (PTC) was regressed against coincident chloride concentration measurements from soil cores. The PTC EC data was then converted to chloride measurements. Using the EM-31 instrument, two site-wide surveys were taken in 2008 and 2010 and both were regressed against coincident PTC EC data converted to chloride. The EM-31 survey was converted to chloride using the regression relationship. Salt mass was determined by kriging with a locally varying mean (KLVM) and found an increase of 3 tonnes which is within our uncertainty. A 20 by 20 m test plot was surveyed using ERT in 2009 and 2010. ERT results were regressed against chloride samples. ERT was transformed by the regression relationship. KLVM was used with chloride samples and transformed ERT and found a decrease of 32% in chloride mass.
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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 it