Electrical Monitoring of In Situ Chemical Oxidation by Permanganate
Bibliographic record
Abstract
Abstract An array of electrical monitoring probes was constructed to monitor a concentrated permanganate (MnO 4 − ) solution injected to treat perchloroethylene (PCE) contamination in a shallow sandy aquifer. The simple probes use pairs of stainless steel wires as electrodes for electrical conductivity (EC) and platinum wires as the working electrodes for oxidation‐reduction potential (ORP) measurements. Combined EC/ORP probes were assembled into bundles with multilevel ground water samplers and installed in boreholes around the injection point. Copper/copper sulfate half‐cells, inserted to the depth of the water table, acted as ORP reference electrodes. All electrodes were connected to a central data acquisition system, which collected data for a period of 25 d following the injection. Large contrasts in the EC and ORP characteristics of the ground water, compared with the MnO 4 − solution, allow the subsurface migration of MnO 4 − to be tracked using these relatively simple electrical measurements. The electrical data were used to track the arrival times of the MnO 4 − at discrete positions in the aquifer, to guide the timing and selection of locations for water sampling, and for three‐dimensional visualization of the MnO 4 − distribution during destruction of PCE.
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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 | 0.000 |
| 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 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".