Repeated capillary electrophoresis separations conducted on a commercial DNA chip
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Bibliographic record
Abstract
Multi-sample microchip capillary electrophoresis separations of a DNA sample (i.e. pUC18 DNA Hae III restriction digest) have been conducted on a commercial bioanalyzer. According to the vendor's specifications, a new chip must be used and the gel–dye mix must be used within 2 weeks for the best possible results. However, such a requirement of new chips and fresh reagents is quite costly, especially during preliminary research work, or instructional experiments in teaching labs. Therefore, we have developed a method to clean the microchip, so that the same DNA chip can be inspected and re-used. Our experimental data show that the CE separations conducted on a new chip and on a cleaned chip are comparable without loss in sizing accuracy and reproducibility. The gel–dye mix can also be used many times, longer than 2 weeks as specified by the vendor until the gel–dye changes color. This method will provide cost-saving advantage to laboratories during training and preliminary research work.
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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) | 0.001 | 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 it