Front-end electronics for the RatCAP mobile animal PET scanner : timing discriminator and 32 line address priority serial encoder
Bibliographic record
Abstract
We report on the development of the integrated front-end electronic for the RatCAP (Rat Conscious Animal PET). The RatCAP is a head-mounted, APD-based portable positron emission tomography scanner intended to perform brain imaging and behavioral studies of the awake rat. This paper focuses on the development and characterization of the zero-crossing discriminator (ZCD) and the 32 line address serial encoder for the miniature scanner. The ZCD, used as a time pick-off circuit for each APD detector, has a power consumption of only 300 /spl mu/W. The 32 line address serial encoder is used to multiplex the timing edge of every channel together with its address into a single output. The ASIC, realized in a CMOS 0.18 /spl mu/m process, has a maximum power dissipation of 125 mW. The electronic timing jitter, the time walk and the coincidence timing resolution of the ZCD measured at the encoder output are presented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".