Etude des parametres physiques en vue d'applications medicales de l'actionnement magnetique de dispositifs medicaux par un systeme d'imagerie par resonance magnetique
Bibliographic record
Abstract
Mécanismes d'actionnement pour dispositifs minimalement invasifs -- Traitements oncologiques par embolisation du foie -- Modélisation du guidage de particules en suspension -- Structure des agrégats magnétiques -- Méthodologie -- Aspects physiques de l'actionnement magnétique par IRM -- Contrôle in vivo d'une bille magnétique par IRM -- Bobines de gradient dédiées à l'actionnement magnétique -- Preuve de concept du principe de guidage de microparticules magnétiques : synthèse de l'article intitulé < > -- Retour sur les méthodes d'injection de suspensions de microparticules magnétiques en IRM et amélioration des protocoles et montages -- Étude de l'agrégation de microparticules magnétiques dans le contexte du guidage en IRM : synthèse de l'article intitulé < >. Étude du guidage magnétique de microparticules magnétiques agrégées : synthèse de l'article intitulé < > -- Préparation au guidage in vivo de particules magnétiques -- Étude des applications de l'actionnement magnétique à la déflexion de guidance force for navigation of magnetic catheters>> -- Magnetic microparticles steering within the constraints of an MRI system : proof of concept of a novel targeting approach -- Dedicated steering coils -- Materials and methods -- Aggregation of magnetic microparticles in the context of MRI actuated targeted therapies -- Magneticdipole-dipole interaction -- MRI steering of aggregating magnetic microparticles for enhanced therapeutic efficacy in cancer targeting -- Model of magnetic steering efficiency -- Préparation au guidage in vivo de particules magnétiques -- Anatomie et paramètres physiologiques -- Choix des particules -- Bobines de gradients -- Quantification de l'efficacité de guidage -- Application of MRI guidance force for navigation of magnetic catheters.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".