Correlation of Overvoltages and Current Densities to Estimate Optimal Electrode Size for Sediment Microbial Fuel Cells
Bibliographic record
Abstract
Abstract We propose a method to determine the optimal electrode size of sediment microbial fuel cells (SMFCs). Four SMFCs presented a proportional increase in the current to the electrode size of the MFCs at day 16. From the I–V curves of the SMFCs, four plots of current versus electrode size (I–Esize plots) were obtained, which displayed high R2 values ranging from 0.980 to 0.994. At day 47, however, V–I curves deviated in one of the four MFCs, such that the I–Esize plots obtained from the I–V curves were inappropriate for estimating the electrode size. We found that the curves of overvoltage against the current density (η–j curves) were comparable in the SMFCs, suggesting that the overvoltage is inversely proportional to the electrode size of the MFCs. The I–Esize plots corrected by using the η–j curves had high R2 values of over 0.978, indicating that the η–j curves can be used for estimating the electrode size when the working voltage to current density ratio is different in SMFCs.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".