Charge Transfer via a Two-Strand Superexchange Bridge in DNA
Bibliographic record
Abstract
Charge transfer in a DNA duplex chain is studied by constructing a system with virtual electrodes connected at the ends of each DNA strand. The system is described by the tight-binding model and its transport is analyzed by the transfer matrix method. The very weak distance dependence in a long $(\mathrm{G}\ensuremath{\mathbin:}\mathrm{C})(\mathrm{T}\ensuremath{\mathbin:}\mathrm{A}{)}_{\mathcal{M}}(\mathrm{G}\ensuremath{\mathbin:}\mathrm{C}{)}_{3}$ DNA chain observed in experiment [B. Giese et al., Nature (London) 412, 318 (2001)] is explained by a unistep two-strand superexchange bridge without the need for the multistep thermally induced hopping mechanism or the dephasing effect. The crossover number ${\mathcal{M}}_{c}$ of the ($\mathrm{T}\ensuremath{\mathbin:}\mathrm{A}$) base pairs, where crossover between the strong and weak distance dependence occurs, reflects the ratio of intra- and interstrand neighboring base-base couplings.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".