Detecting and Monitoring Oil Contamination Using Electrical Resistivity
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
This study uses electrical resistivity tomography (ERT), recently introduced as a means of detecting contaminants in the subsurface, to detect oil pollution of sand. A total of 28 stainless steel stakes were placed in a tank filled with Ottawa sand having a moisture content of 2.5%. The stakes were connected to the electrodes of the Advanced Geosciences Inc. (AGI) Supersting R1. Several control surveys were run to obtain the electrical resistivity of the sand before and after application of the contaminant. Engine oil was poured at the surface point to observe changes in the electrical characteristics at the entry spot. Several tests were performed on different days to investigate how the contamination affected resistivity. Locations with oil concentration showed no major changes in electrical resistivity over a period of 7 days. ERT surveys were found useful in detecting oil plumes and their flow in sand.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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