Bibliographic record
Abstract
Embryonic stem (ES) cells are capable of unlimited self-renewal and have the ability to give rise to all tissue types in the body. The use of human ES cells for tissue and cell therapeutics has been suggested, but is limited by ethical concerns as these cells are derived from the inner cell mass of human embryos. In addition, the need for HLA matching of ES cell-derived tissues for allogeneic transplantation would require a bank of several thousand ES cell lines to make tissue therapeutics practical. Recently, adult stem cells-of which those in bone marrow are the best studied-have been shown to be capable of multilineage differentiation into cells of various non-blood tissues. Umbilical cord blood (UCB) haematopoietic stem cells have been shown to be equivalent to bone marrow stem cells for reconstitution of the haematopoietic system. Preliminary studies have also demonstrated that UCB haematopoietic stem cells are multipotent and capable of differentiating into non-blood cell types. This observation raises the exciting possibility of replacing human ES cells for tissue and cell therapeutics with UCB blood haematopoietic stem cells that are normally discarded with the placenta after delivery.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.010 |
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".