Bibliographic record
Abstract
Deferring donors at higher risk for transfusion transmissible infections is an important part of ensuring blood safety. The deferral for gay, bisexual, and other men who have sex with men (gbMSM) was implemented in the 1980s in many countries, since they were identified as a high-risk group for AIDS/HIV. With the introduction of increasingly sensitive HIV antibody testing, augmented by nucleic acid testing, the window period for HIV infection-when a donor may be infectious but have negative test results-has shrunk dramatically. In Canada, this has led to progressively shorter deferral periods for gbMSM, decreasing from a permanent deferral for sex with another male since 1977 to a 5-year, 12-month, and eventually 3-month deferral period. These time-based deferrals maintained safety; however, they are seen as stigmatizing by many and still result in the deferral of sexually active gbMSM. More recently, several countries have moved to a donor screening approach based on assessing sexual risk behaviors in all donors. This article outlines research supporting changes in policy, current eligibility screening policies in several countries, and preliminary results postimplementation of new eligibility policies in Canada in September 2022.
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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 | 0.019 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".