Whole‐column fluorescence‐imaged capillary electrophoresis
Bibliographic record
Abstract
An axially illuminating whole-column fluorescence imaging capillary electrophoresis (CE) experimental setup was developed. A 6 cm long Teflon tube with an inside diameter (ID) of 42 microm was used as separation column. Excitation light of 488 nm from Ar+ laser was introduced to one end of the separation column by an optical fiber. The excitation light propagated inside the separation column by total internal reflection, since the refractive index of the buffer solution was larger than that of the Teflon tube. The fluorescence from the whole separation column was imaged with a charge-coupled device (CCD) camera. Fluorescent compounds such as fluorescein isothiocyanate (FITC), 5-carboxyfluorescein, and FITC-labeled protein were used to test the basic performance of the experimental setup. Experimental results illustrate that the whole-column-fluorescence imaging CE is a fast and sensitive separation method for fluorescent compounds and fluorescent-labeled proteins. Furthermore, it could be used for simple, fast, and easy comparisons of the resistance to photodegradation for various fluorescent compounds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".