Continuous Multiple Measurement of Soil Redox Potential Using Platinum Microelectrodes
Bibliographic record
Abstract
Redox potential (E H ) measurement is a reading of voltage difference between a working electrode such as a Pt electrode and a reference electrode inserted into the soil or various substrates. This study was conducted to develop a method for continuous, autonomous, and multiple E H measurements using Pt microelectrodes connected to a data logger. A preliminary field experiment was carried out to assess the long‐term viability of Pt microelectrodes installed in situ. A second experiment was conducted in the laboratory to test an interface designed to allow the stabilization of E H measurements. The Pt microelectrodes and reference electrode showed reliable readings during the field trial and generally tested viable at the end of the four month experiment. However, discrepancies between logged E H measurements and manually stabilized readings, particularly under moderate reductive conditions, emphasized the necessity to adapt the principle of manually stabilized readings to the use of a data logger. Laboratory data obtained from pairs of Pt microelectrodes and reference electrodes connected to a new homemade interface confirmed that instantaneous logged measurements led to the underestimation of E H values by 140 mV in the critical and unstable range of 0 to 200 mV. Continuous, multiple measurements of stabilized E H using Pt microelectrodes is now feasible using a stabilization interface placed between the microelectrode and the data logger.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".