Electrochemical double-layer capacitance of graphite electrodes: preliminary results
Bibliographic record
Abstract
Spectral--induced-polarization (spectral-IP) characteristics of 12 pairs of graphite electrodes (diameters of 5.74 and 3.77 cm), used in the two-electrode system for taking electrical measurements of rock and soil samples, have been measured to determine their electrochemical double-layer capacitances. This is a repetition of previous measurements of similar types. The purpose was to determine if specific capacitance values can be assigned to graphite electrodes so that their effect can be subtracted from the two-electrode measurements for increased accuracy. Electrode characteristics, represented by capacitance over electrode surface area (CE/A) and frequency-dependence coefficient (alphaE), are 1.61± 0.5 x 10-4 to 2.94 ± 0.93 x 10-4 F/cm2 and 0.23 ± 0.02 to 0.23 ± 0.07, respectively, for the pairs of electrodes with different diameters. These variations are too large to assign single values to each diameter of electrode. Nevertheless, the repeatability of individual electrode sets with previous measurements is extremely good with almost no errors, so values can be assigned with confidence to each specific set of electrodes.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".