Advancement of Pediatric Blood and Marrow Transplantation Research in North America: Priorities of the Pediatric Blood and Marrow Transplant Consortium
Bibliographic record
Abstract
Advances in pediatric bone marrow transplantation (BMT) are slowed by the small number of patients with a given disease who undergo transplantation, a lack of sufficient infrastructure to run early-phase oncology protocols and studies of rare nonmalignant disorders, and challenges associated with funding multi-institutional trials. Leadership of the Pediatric Blood and Marrow Transplant Consortium (PBMTC), a large pediatric BMT clinical trials network representing 77 active and 45 affiliated centers worldwide, met in April 2009 to develop strategic plans to address these issues. Key barriers, including infrastructure development and funding, along with scientific initiatives in malignant and nonmalignant disorders, cellular therapeutics, graft-versus-host disease, and supportive care were discussed. The PBMTC's agenda for approaching these issues will result in infrastructure and trials specific to pediatrics that will run through the PBMTC or its partners, the Blood and Marrow Transplant Clinical Trials Network and the Children's Oncology Group.
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 | 0.074 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.005 | 0.018 |
| Research integrity | 0.016 | 0.021 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".