The quest for hematopoietic stem cells in the embryo. An interview with Franoise Dieterlen-Livre
Bibliographic record
Abstract
Françoise Dieterlen-Lièvre is probably the scientist who has most contributed to our basic knowledge of developmental hematopoiesis. She has dedicated her career to answering cutting edge questions on the origin of hematopoietic stem cells in the embryo. Her seminal contributions, widely recognized by the scientific community, have paved the way for generations of developmental hematologists questioning the origins of hematopoietic stem cells. After having demonstrated the intra-embryonic origin of hematopoietic stem cells, established the dual origin of the endothelial network in the embryo and revealed the hematopoietic function of the allantois in birds, she has switched to mammals and contributed to demonstrating that the aorta and allantois/placenta are new sites of hematopoietic production in the mouse embryo. The manifold insights generated by the pivotal work of Françoise Dieterlen-Lièvre have created multiple paradigm shifts which continue to challenge the field of developmental hematopoiesis.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.017 |
| 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".