Optimization and application of Electron Beam Absorbed Current technique
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
Advanced microprocessors are aggressively scaled with process technology rapidly advancing to 14nm technology node. This presents a challenging task to uncover subtle physical defects resulting from resistive via/contact & shorted tight pitch metal interconnects. Electron Beam Absorbed Current (EBAC) is a promising technique that can help to identify the defective vias or metal shorts in non-invasive manner. This technique is based on scanning electron microscopy (SEM) and pizeo manipulators of tungsten tips. Metal lines are probed with tungsten probes in SEM and electrons beam current absorbed by the metal lines are collected and used to form a current or voltage contrast map of the area. Any abnormal metal EBAC image would indicate metal line defects and can be correlated with layout images.
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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