Controversies of and Unique Issues in Hematopoietic Cell Transplantation for Infant Leukemia
Bibliographic record
Abstract
Infants with leukemia who require hematopoietic cell transplantation (HCT) remain 1 of the most significant challenges in pediatric stem cell transplant. Infant leukemia is characterized by a unique biology including a predominance mixed lineage leukemia(MLL) gene rearrangement and juvenile myelomonocytic leukemia. Moreover, the long-term effects of transplantation are particularly prominent in infants who have active endocrine, cardiovascular, pulmonary, neurologic, musculoskeletal, hearing, and vision development, with the added risk of second malignant neoplasms. Currently, there is no solid basis to support allogeneic HCT as first-line therapy for infant acute lymphoblastic leukemia-first remission (ALL-CR1), although indicated for other infant leukemias, including juvenile myelomonocytic leukemia (JMML). The relative long-term toxicity of total body irridiation (TBI) versus non-TBI containing preparative regimens for HCT in infants remains controversial, with the differences, especially on neurocognitive function, unknown.
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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 | 0.055 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 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".