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
Our development of an Automated Test System (ATS) for Proximity Sensor Electronic Units (PSEUs) in the aircraft industry required the implementation of a variable inductor. The variable inductor simulates inductive proximity sensors so the ATS can measure and verify the switch points of the electronics as the sensors move between their near and far states. Though developed for PSEU testing, the presented methodology and technology may be applied to other test equipment and applications that require a variable inductor. The paper begins by looking at different techniques for implementing a variable inductor: moving cores, switched decade boxes, gyrator circuitry and saturable core reactors. The paper presents the pros and cons of the different technologies and then focuses on the development of a saturable core reactor as the chosen technology. The paper presents fundamental formulae used during the development of the variable inductor and test results for a number of developed prototypes. The presentation includes the development of a highly-accurate control loop to precisely hold the value of the controlled inductance. Finally, the paper concludes with a brief discussion of the ATS that ultimately housed the variable inductor.
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) | 0.000 | 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 it