Real-Time Monitoring for Electrochemical Analysis in Molten LiCl-KCl Eutectic Salt
Bibliographic record
Abstract
In the present work, a real-time monitoring system for molten LiCl-KCl eutectic salt medium is set up with optically accessible quartz windows mounted on the furnace and the CMOS camera. Based on the designed system, the real-time monitoring was carried out to investigate the electrode behavior in various electrochemical systems, such as (1) differences in Co morphology deposited in molten CoCl2-LiCl-KCl system by various electrochemical deposition methods, (2) a reoxidation behavior of electrochemically reduced lithium, and (3) a reduction of Zr(IV) ions to Zr(III) ions in the molten ZrCl4-LiCl-KCl system. By delivering the video signal from the CMOS camera to the PC which controls the potentiostat, the visual changes can also be synced with the measured current or potential during the experiment. This enables us to compare the visualized morphological properties on the surface of the working electrode under different applied potential conditions during the application of electroanalytical methods.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".