Bibliographic record
Abstract
Chemical sensors based on adsorption-induced deflection of microfabricated cantilevers offer very high sensitivity. Cantilever deflection occurs when molecular adsorption is confined to one side of the cantilever beam. Although these cantilever sensors have very high sensitivity, they do not have any chemical selectivity. Chemical selectivity is obtained by immobilizing chemoselective interfaces or receptors on the cantilever surface, and thus this approach suffers from chemical interferences. This problem of chemical selectivity can be overcome by exploiting the high thermal sensitivity of bi-material microcantilevers. Physisorbed molecules on a bi-material cantilever under resonant excitation by infrared (IR) radiation generate heat during nonradiative de-excitation, which results in cantilever deflection. Monitoring the variations in the cantilever deflection as a function of IR wavelength shows IR absorption peaks of the molecules. This photothermal cantilever deflection spectroscopy has very high sensitivity and selectivity and offers unprecedented opportunities for chemical sensing without chemoselective interfaces or receptor molecules.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.005 | 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 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".