Mapping the variation of the translocation<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>α</mml:mi></mml:math>scaling exponent with nanopore width
Bibliographic record
Abstract
The unbiased translocation of a coarse-grained polymer through a nanopore is investigated via Langevin dynamics simulations for polymers ranging from N=19 to 299 monomers in length and pore widths r p ranging from 1 to 10 times the monomer diameter. The exponent α derived from the scaling of the translocation time τ with respect to the molecular weight N is found to be heavily dependent on r p and increases from a value of 2.2 for r p=1.0 up to a saturation value of 3. The details of the translocation process also reveal that the average number of monomers in the pore [n p] not only varies as translocation proceeds but that for any polymer where the radius of gyration is greater than the radius of the available pore width, [n p] decreases with increasing N. Using these data to rescale the results according to a blob picture, the results retain sensitivity on the pore geometry as α varies from 2.2 to 2.65--a range which covers all results reported in previous studies.
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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".