Red blood cell antigen portrait of self‐identified Black donors in Quebec
Bibliographic record
Abstract
OBJECTIVES: The goal of this study was to establish a red blood cell antigen portrait of self-identified Black donors for the province of Quebec, Canada. BACKGROUND: The demand for extensively phenotyped red blood cells is on the rise. A good example is the sickle cell patient cohort. To better answer their transfusion needs, Héma-Québec put forward great efforts to increase the recruitment of donors among cultural communities. MATERIALS AND METHODS: In October 2009, an optional question was added on the record of donation to indicate the donor's ethnicity. Self-identified Black donors were extensively phenotyped by the Immunohematology Laboratory, whereas the Research and Development team genotyped red blood cell antigens to complete the picture. RESULTS: Approximately 1500 self-identified Black donors have donated blood at least once since the beginning of the programme. Genotyping results predicted rare phenotypes: 18 S-s- (3 U-, 15 U+(w) ), 15 Js(a+b-), 5 Hy-, 3 Jo(a-), 34 hr(B) +(w) /- and 15 hr(B)-. CONCLUSION: These Black donors, with or without a rare phenotype, are precious to the patient cohort depending on blood transfusions and to our organisation as the blood provider for the whole province of Quebec.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".