Bibliographic record
Abstract
According to haemovigilance data from many Western countries, platelet concentrates (PCs) is the type of blood component most frequently associated with transfusion reactions [1].In a prospective study by Heddle et al. adverse events were reported to occur in up to 31% of platelet transfusion [2], but more recently, the incidence of transfusions reactions to PCs has been reported to be around 2% or less [3,4].Although differences in the reporting practice make direct comparison between studies difficult, the frequency of adverse reactions to platelets has undoubtedly decreased considerably during the last two decades.The most important single cause that can explain this decreased number of transfusion reactions is various improvements in production and storage of PCs.Most platelet-related adverse events are mild and nonlife threatening reactions.More rarely, transfusion of platelets is associated with potentially fatal reactions such as transfusion-related acute lung injury (TRALI), septicaemia and severe anaphylactic reactions.
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 | 0.073 | 0.154 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".