Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Due to their high‐resolution, reliability, and low‐temperature dependence, capacitive sensors are widely used in various applications such as accelerometers, humidity and pressure measurements, and molecular and cellular biology. Capacitive sensors are also suitable for use in energy‐constrained applications, such as low‐power battery‐operated systems and wireless sensor networks. Moreover, charge‐based capacitive measurement (CMOS) technology allows the integration of large number of sensors on a single die that facilitates high‐throughput mode measurements. This article focuses on the development of miniaturized integrated capacitive arrays for practical chemical and biological applications, including deoxyribonucleic acid (DNA) hybridization detection, cellular studies, and protein interactions quantification. Following analyses of capacitive sensor principles, we describe main applications of integrated capacitive sensor arrays. Thereafter, we put forward different implementations of capacitive electrodes and its challenges in CMOS technology. In addition, we review some of the most common readout interfaces for integrated capacitive sensors.
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.
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) | 0.001 | 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 | 0.001 |
| 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 it