Design and Testing of a Low-Cost Multichannel Pseudopotentiostat for Quantitative Combinatorial Electrochemical Measurements on Large Electrode Arrays
Bibliographic record
Abstract
We describe a simple multichannel pseudopotentiostat based on appropriately chosen resistors, a programmable voltage source, and a scanning multimeter. Our first pseudopotentiostat can perform cyclic voltammetry on 64 channels of a combinatorial electrochemical cell that has 64 working electrodes and common counter and reference electrodes. The performance of the pseudopotentiostat and a 100 channel Scribner model 900B multichannel microelectrode analyzer (MMA) are compared on the same channels of the same cell. We find that for experiments on arrays of lithium-insertion electrodes, the pseudopotentiostat provides equivalent information to the MMA at about 20% the cost. The cost benefits are more significant as the number of channels increases so we believe this represents a good strategy for measurement systems to be used in quantitative combinatorial electrochemistry studies of large arrays. © 2003 The Electrochemical Society. All rights reserved.
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How this classification was reachedexpand
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) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".