Damage thresholds of silicon-based cameras for in-band and out-of-band laser expositions
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
The damage threshold of silicon-based cameras to laser irradiation is measured for continuous wave lasers at both in-band and out-of-band wavelengths. Clarifications about the various kinds of damage reported in the literature are also presented and explained through various tests. For increasing laser intensities, the sequence of laser effects on cameras usually starts from dazzling, to a decrease of the pixel response up to the complete neutralization of its pixel matrix. However, the intensity range for the complete sequence of these laser effects can strongly depend on the laser wavelengths and the tested cameras, particularly for out-of-band laser wavelengths. The proposed definitions of damage thresholds presented in this work offer a basis for the future comparison of results between different studies.
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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