Scanning tunneling microscopy imaging of Au coated microcantilevers
Bibliographic record
Abstract
Scanning tunneling microscopy (STM) imaging was performed on Au coated cantilevers. Attempts to image the cantilevers directly in air or in viscous fluids were not possible beyond one third of the lever’s length despite the fact that the cantilevers were critically damped as determined by calculations. These results indicate the presences of a non-negligible force between the STM tip and the cantilever. Cantilevers were therefore detached from the chip and held on a rigid sample holder and imaged by STM. Statistical analysis of the STM images shows that the roughness and the peak-to-valley value of the thin Au film increases by approximately up to 200% and 300%, respectively, near the lever’s free end as compared to the Au surface on the chip. This change in morphology is significant since cantilever sensor measurements have been shown to be dependent on the morphology of the thin film used to attach the sensing layer on the cantilever.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".