Next Generation of Real Time Data Acquisition, Calibration and Control System for the RatCAP Scanner
Bibliographic record
Abstract
The RatCAP (rat conscious animal PET) is a miniature positron emission tomography scanner intended for neurological and behavioral study of small awake animal. The RatCAP system comprises of three distinct modules: a rigid-flex technology based printed circuit board (PCB) which houses the detector components and front end application specific integrated circuit (ASIC), a time to digital converter and signal processing module (TSPM) which receives and processes ASIC signals and transmits processed data over two Giga bit fiber optic links to, finally, a PCI based data acquisition and control PCB (PACRAT). TSPM-3 is redesigned from previous versions to accommodate second generation front end ASIC and possible future two scanner expansions. ASIC's programmable features are exploited using new additional TSPM electronics for scanner calibration and test. Designs of these three modules and corresponding firmware and software upgrades are complete. Results from a fully integrated next generation RatCAP on the bench 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".