A 21.8b sub-100μHz 1/f corner 2.4μV-offset programmable-gain read-out IC for bridge measurement systems
Bibliographic record
Abstract
High-resolution read-out integrated circuits (ROICs) are often used in DC measurement systems such as bridge transducers. Since these typically output small-amplitude signals with a bandwidth of a few hertz, a highly linear gain ROIC is required with a resolution above 20b [1,2]. In previous work, high-precision instrumentation amplifiers (IAs) followed by analog-to-digital converters (ADCs) were reported [1-4]. However, IA topologies based on switched-capacitor (SC) or multiple operational amplifiers (opamps) suffer from a poor power-noise tradeoff due to noise folding [2], or the number of amplifiers [3], respectively. Current-feedback IAs (CFIAs) are more power-efficient, but require highly linear feedback resistors [4,5]. This drawback can be addressed by capacitively-coupled IAs (CCIAs), which are even more power efficient [1].
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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 | 0.001 | 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) | 0.000 | 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".