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Record W4384659181 · doi:10.1111/vox.13491

Plasma collection and supply in Europe: Proceedings of an International Plasma and Fractionation Association and European Blood Alliance symposium

2023· article· en· W4384659181 on OpenAlexaff
Dragoslav Domanović, Leni von Bonsdorff, Pierre Tiberghien, Paul Strengers, Matthew Hotchko, Peter O’Leary, Jean‐Baptiste Thibert, Karin Magnussen, Christian Erikstrup, M.L.C. Spekman, Stuart Chesneau, J. T. Jones, Bjarne Kuno Møller, Peter Verheggen, Gerard Gogarty, Mazen Elzaabi, Vincenzo De Angelis, Fabio Candura, Polonca Mali, Françoise Rossi, B. G. Rodrigues, Ramune Sepetiene, Thomas Lenzen, Stephan Walsemann, Robert T. Perry, Jean‐Philippe Plançon, Cynthia So‐Osman, Isabelle Durand‐Zaleski, Giuseppina Facco, Daphne C. Thijssen‐Timmer

Bibliographic record

VenueVox Sanguinis · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsAllianceFractionationBlood collectionMedicinePolitical scienceChemistryEmergency medicineChromatographyLaw

Abstract

fetched live from OpenAlex

At the symposium organized by the International Plasma and Fractionation Association and European Blood Alliance, experts presented their views and experiences showing that the public sector and its blood establishments may strengthen the collection and increase the supply of plasma using the right strategies in plasma donor recruitment, retention and protection, scaling-up collection by increasing the number of donors within improved/new infrastructure, supportive funding, policies and legislation as well as harmonization of clinical guidelines and the collaboration of all stakeholders. Such approaches should contribute to increased plasma collection in Europe to meet patients' needs for plasma-derived medicinal products, notably immunoglobulins and avoid shortages. Overall, presentations and discussions confirmed that European non-profit transfusion institutions are committed to increasing the collection of plasma for fractionation from unpaid donors through dedicated programmes as well as novel strategies and research.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.226
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2023
Admission routes1
Has abstractyes

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