Bibliographic record
Abstract
Transfusion recipients who become alloimmunized to blood group antigens require antigen-negative blood to limit adverse transfusion reactions. An alternative strategy to phenotyping blood is to assay genomic DNA for the associated single nucleotide polymorphisms (SNPs). A multiplex PCR coupled with a single base oligonucleotide extension assay using genomic DNA can identify SNPs related to D, C/c, E/e, S/s, K/k, Kp(a/b), Fy(a/b), Fy0 (-33 promoter silencing polymorphism), Jk(a/b), Di(a/b), and HPA-1a/b. Using this technology, individual SNP call rates vary from 98 to 100%. The platform has the capacity to genotype thousands of samples per day. The suite of SNPs provides rapid data for both blood donors and transfusion recipients and is poised to change whose blood is provided for potential transfusion recipients. The potential to dramatically lower the incidence of alloimmunization and to avoid serious hemolytic complications of transfusions can be realized with the implementation of this technology.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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".