Development and Validation of a GATE Simulation Model for the LabPET Scanner
Bibliographic record
Abstract
A three-dimensional (3D) of the LabPET scanner has been newly developed by means of GATE (Geant4 application for tomographic emission) with the purpose of carrying out a detailed study of the system's performance. The accuracy of this model was examined by comparing simulated, theoretical and experimental results obtained with LabPET for different performance features including detection efficiency, sensitivity, count rates, photoelectric probability, phoswich detector energy resolution and intrinsic spatial resolution. An agreement of 95% for singles count rates, 96% for detection efficiency and 90% for absolute sensitivity was obtained between simulations and measurements. Also, an agreement of >97% for photoelectric fraction, > 96% for radial intrinsic resolution and >93% for axial intrinsic resolution, was obtained between simulations and the theoretical calculations. In conclusion, the achieved results support the accurate modeling of LabPET with GATE.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".