Translocation of a polymer through a nanopore modulated by a sticky site
Bibliographic record
Abstract
Using a one-dimensional model for the translocation of a polymer through a nanopore, the effect of a "sticky site" at which the polymer binds to the pore is explored via exact numerical techniques. Results for the mean translocation time and the probability of translocation on the insertion of the first monomer in the pore are generated across a wide range of driving forces and binding potential strengths (well depths). The balance between the driving force, diffusion, and well depth yields a rich set of dynamics that depend strongly on where the sticky site is located along the polymer. For example, when the sticky site is located near the head of the polymer, the translocation time is found to be a maximum at an intermediate driving force with events at lower driving forces taking less time. Additionally, the critical well depth at which the sticky site dominates the dynamics, is found to be a non-monotonic function of the driving force when the sticky site is located at the head or tail of the polymer, but not in the middle. Modeling of the process yields good agreement with simulation results.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".