Data analysis of nonlinear systems: Application to Au nanowires
Bibliographic record
Abstract
A general scheme for analyzing nonlinear systems is presented, with measurements of the nonlinear I–V characteristics of a gold atomic contact with a mechanically controllable break junction used as an example. Simultaneous measurements of I(V) and ∂I/∂V(V) were analyzed to extract the unbiased conductance from the normalized functional form of I(V). This allows us to remove the error in the conductance measurements associated with fluctuations in the atomic structure of the system (about 5%). This demonstrates the potential of this technique to discover and subsequently understand new phenomena in nanometer scale systems, where measurements are often challenging due to noise, difficult-to-control quantities such as the atomic structure of a contact lead, and the lack of adequate, generally accepted theoretical descriptions. A discussion of the tradeoff between higher-order measurements and averaging artifacts due to nonlinearity is also included.
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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 | 0.002 |
| 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".