TomoBayes - logiciel de reconstruction en tomographie CT
Bibliographic record
Abstract
Ce logiciel de reconstruction en tomographie 3D CT a pour domaine d’application le contrôle non destructif ou l’imagerie médicale. Ce code permet de lire les données des scanner au format brut et d’avoir en sortie le volume reconstruit par des méthodes analytique (rétroprojection filtrée) ou itérative. Ces reconstructions sont accélérées grâce à une parallélisation sur les processeurs GPU des opérateurs les plus gourmands en temps de calcul (projection, rétroprojection et convolution 3D). Des volumes de taille 1024^3 peuvent ainsi être reconstruit avec des méthodes itératives en moins d’une heure. Cette parallélisation CUDA (langage utilisé pour les cartes graphiques NVIDIA) est effectuée à deux niveaux : (i) sur les différents cœurs des processeurs many-cores des GPUs et (ii) sur les différentes cartes GPU du serveur (validé sur le serveur 10 GPUs du L2S).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.017 |
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".