Le génie tissulaire au service de la compréhension du vivant
Bibliographic record
Abstract
Le génie tissulaire est un nouveau domaine, qui permet l’étude des mécanismes physiologiques du vivant. Il s’agit d’une technologie fondée sur la capacité des cellules vivantes, en présence ou non de biomatériaux, à s’assembler en un tissu tridimensionnel. Elle constitue une voie intéressante ouvrant aux chercheurs la possibilité de considérer les cellules dans un contexte proche de celui retrouvé in vivo. Cet article résume les travaux en génie tissulaire menés par le laboratoire d’organogenèse expérimentale (LOEX) au cours des dernières années, dans le but de comprendre certains des mécanismes physiologiques et pathologiques de l’organisme humain. Ainsi, la cicatrisation cutanée, mais aussi les cellules souches, l’angiogenèse et les interactions cellulaires sont des secteurs ayant profité de l’apport du génie tissulaire.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".