National Institutes of Health Blood and Marrow Transplant Late Effects Initiative: The Healthcare Delivery Working Group Report
Bibliographic record
Abstract
Hematopoietic cell transplantation (HCT) survivors are at risk for development of late complications and require lifelong monitoring for screening and prevention of late effects. There is an increasing appreciation of the issues related to healthcare delivery and coverage faced by HCT survivors. The 2016 National Institutes of Health Blood and Marrow Transplant Late Effects Initiative included an international and broadly representative Healthcare Delivery Working Group that was tasked with identifying research gaps pertaining to healthcare delivery and to identify initiatives that may yield a better understanding of the long-term value and costs of care for HCT survivors. There is a paucity of literature in this area. Critical areas in need of research include pilot studies of novel and information technology supported models of care delivery and coverage for HCT survivors along with development and validation of instruments that capture patient-reported outcomes. Investment in infrastructure to support this research, such as linkage of databases including electronic health records and routine inclusion of endpoints that will inform analyses focused around care delivery and coverage, is required.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".