Electrochemical Characterization of the Repurposed Antimicrobial Compound Auranofin in Aqueous Solutions
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Electrochemical sensors are gaining attention for the detection and quantification of pharmaceuticals in the environment. To that end, there is an interest in understanding the electrochemical characteristics of drugs. Herein, the multi‐purpose drug auranofin is investigated for the first time in aqueous media. This compound offers therapeutic benefits in strains of cancer, parasites, bacteria and fungi, which have grown immune to many antibiotics. Auranofin detection was optimized at carbon black‐modified electrodes. Voltammetry provides information about redox potentials, levels of detection and quantification, and pH dependence. Parameters identified in this study will be useful for auranofin sensing in environmental samples, and for studies related to drug resistance.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it