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
Measuring small inductors and capacitors can be challenging with the use of conventional LCR-meters that have a test frequency of 10 kHz or less. With a 10 nH inductor at 10 kHz, the impedance is only 6 mOhms, that is comparable to the resistance of the probes. At a frequency of 100 kHz, the impedance increases to 60 mOhms. On the other hand, a 1 pF capacitor at 10 kHz results in an impedance of 15 MOhms, which makes a capacitive connection between the probes noticeable and affects the measurement of impedance. This paper presents two case studies: an extraction the parasitic inductance of the two-wire probes using the HP4284A LCR-meter and HP16034E test fixture, and extraction of the parasitic capacitance using the LCR-Reader-R2 tweezer-meter. This method enables accurate measurements of sub-nH inductors and sub-pF capacitors using test frequencies below 300 kHz.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it