Proceedings of the <scp>AABB</scp> blood center executive summit
Bibliographic record
Abstract
AABB hosted the Blood Center Executive Summit on 20 October 2019 during the AABB Annual Meeting in San Antonio, Texas. The session was sponsored by the Commonwealth Transfusion Foundation, a nonprofit, private foundation whose mission is to inspire and champion research and education that optimizes clinical outcomes in transfusion medicine and ensures a safe and sustainable blood supply for the United States. The Summit focused on the intersection of blood centers and plasma centers. Presenters and attendees explored existing and needed data, regulatory requirements, risks and benefits of different donor models, and future direction of the plasma community and blood centers. The Summit also identified priority issues that warrant further investigation and provide opportunities to drive progress. Introductory remarks provided context for the Summit presentations. Debra BenAvram, FASAE, CAE, Chief Executive Officer, AABB (Bethesda, Maryland), noted that during the past year, she and other AABB staff have had many discussions with blood center executives on key issues and challenges. In these talks, many executives requested that AABB provide programming specifically for this member segment. The Summit is a direct result of those requests, and the AABB supports a fruitful discussion as well as important and actionable next steps. Kevin Belanger, DHS, MS, MT(ASCP)SBB, President and Chief Executive Officer of the Shepeard Community Blood Center (Evans, Georgia), observed that he and his colleagues have seen a decrease in the donor base and, at the same time, an increase in plasma centers. He also noted that the resulting discussions about competition and donor compensation have been muted. The Summit provides a forum for a broad, open discussion that can be the start of something important. As chair of the Summit planning committee, he thanked both panelists and audience members for participating. Bob Carden, Chief Executive Officer of the Commonwealth Transfusion Foundation (Richmond, Virginia), who moderated the Summit, joined BenAvram and Belanger in welcoming participants to the day's presentations. He emphasized the need for data and noted that one outcome of the day would be a list of potential research projects that could be pursued and considered for funding.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".