DNA Separation Mechanisms During Electrophoresis
Bibliographic record
Abstract
This chapter describes the separation mechanisms used for DNA electrophoresis. The focus is on the concepts that may help the researcher understand the methodology, read the theoretical literature, analyze experimental data, identify the relevant separation regimes, and/or design optimization strategies. But first, let’s look at some key definitions. Since capillary electrophoresis (CE) is a “finish line” technique, the mobility μ(M) and the velocity v(M) of a molecule of size M (in bases or base pairs) in an electric field E are generally defined as: μ(M)= [v(M)]/E = L/[t(M)E] in which, L is the distance migrated during the elution time t(M). Clearly, this definition is valid only if v(M) is constant during the run. This requires time-independent and uniform (i.e., along the capillary) conditions (e.g., field, temperature, and so on), something that is rarely checked and is rather unlikely. This definition may thus lead, in some cases, to dubious conclusions (). Successful separation of molecular sizes M1 and M2 requires the time spacing t1–t2 between these electrophoresis peaks to be larger than their full (time) width at half-maximum (FWHM), w1,2. A useful measure of the resolution is thus given by the separation factor S, which gives the smallest resolvable size difference: S = [(w1 + w2) × (M2 −M1)]/[2 × (t1 − t2)]
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".