Bibliographic record
Abstract
Human embryonic stem cells (hESCs) derived from the human embryo, and more recently adult dermal fibroblasts induced to be reprogrammed into pluripotent stem cells (hIPCs), represent two potential sources of cells for regenerative cell replacement therapies. However, the fundamental aspects of both cellular and molecular biology required to control differentiation to a specific lineage using pluripotent cells remain the single and most important obstacle to bringing this therapy to the clinic. Hematopoietic stem cell (HSC) transplants have been and are currently the most prevalent and successful stem cell therapy to date. Our lab and others have been defining these signals and cellular phenotypes of cells emerging towards the hematopoietic lineage from both hESCs and hIPSCs. Although improvements can be made to increase the quantity of hematopoietic cell types with primitive blood cell function, the methods to generate hematopoietic cells that possess in vivo repopulating function similar to somatic HSCs have been elusive. We will discuss how current knowledge of hematopoietic differentiation from pluripotent cells relates to opportunities in both basic research and future clinical goals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".