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
Good control on lift-off is crucial in Eddy Current Testing (ECT) as the signal amplitude, directly affected by lif-toff changes, can potentially lead to reduced detection performance and/or false positives. This is especially true in automated inspections with Eddy Current Array (ECA) technology, where lift-off cannot be mechanically compensated for at each coil position. Here, we report on a novel method for compensating sensitivity variations induced by varying lift-off for an ECA probe. This method makes use of a single ECA probe operated in two different ways: One is to create a set of detection channels and the other is to create a set of lift-off measurement channels. Since a simple relationship exists between the two measurements, an improved calibration process can be used which combines the calibration of both detection and lift-off measurement channels on a simple calibration block exhibiting a reference indication, thus eliminating the need for a predefined lift-off condition. In this work, we will show results obtained on a weld cap, where lift-off condition is known to vary significantly over the scanning area.
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 | 0.000 | 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