Bibliographic record
Abstract
This paper examines the testability of a CMOS operational amplifier (op-amp) in four different feedback configurations. Feedback is often considered to complicate the testing problem. Here, we illustrate that it is possible to test the op-amp for catastrophic faults at wafer probe without having to remove feedback structures. Catastrophic, as well as parameter variation fault models, are used to simulate the faulty response of the opamp circuits. Our method relies on repeated Monte Carlo fault simulations to examine differences in a circuit's response for each possible fault condition. A sine wave is used for the test stimulus in each case. Four closed loop configurations are considered for the study: integrator, differentiator, inverting amplifier, and comparator. We tally the percentage of stuck-at, short, and open faults that are detectable with the feedback applied to demonstrate that the four feedback network configurations have little effect on the catastrophic fault coverage, as compared with similar tests performed for an open-loop configuration.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".