Bibliographic record
Abstract
Recognition that haemopoietic growth factors, administered alone or following chemotherapy, result in mobilisation of haemopoietic progenitor cells (HPCs) into peripheral blood has had a profound impact on stem cell collection both for autologous transplantation and for healthy allogeneic stem cell donors. Identification of HPCs correlates with expression of the CD34+ antigen. Functional analysis of HPCs can be performed using cells grown in semi-solid methylcellulose (MC) to identify colony-forming unit (CFU). Resultant CFU-erythroid, CFU-granulocyte, CFU-mixed (CFU-GEMM) and CFU-megakaryocyte colonies help to characterise the short-term multipotency of a given HPC product. Sterility testing suitable for detecting clinically significant bacteria and fungal contamination of an HPC product must be performed at a minimum post processing. In many instances, the HPC product is stored for short periods of time (hours) in an unmanipulated liquid state. Reported temperatures suitable for short-term storage range from 4 °C to 27 °C.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.019 |
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".