Rubella Susceptibility Predicts Measles Susceptibility: Implications for Postpartum Immunization
Bibliographic record
Abstract
The goal of rubella immunization is the elimination of the congenital rubella syndrome (CRS). Protection from CRS is accomplished for the large majority of women in developed countries by routine childhood immunization(s) against rubella. A small number of women in their childbearing years, however, remain susceptible to rubella virus because of missed vaccinations (either intentional or unintentional) or vaccine failure. Prenatal screening of pregnant women for rubella antibodies is widely recommended to identify these susceptible women so that they can be offered vaccination postpartum. This strategy aims to eliminate the risk of CRS in the subsequent pregnancies. Whether to offer rubella vaccination alone or in combination with measles vaccine (MR) or measles and mumps vaccines (MMR) has only recently been considered by some national advisory bodies. For example, only the most recent recommendation of the Advisory Committee on Immunization Practices (ACIP) states that MMR vaccine should be offered to all rubella-seronegative women of childbearing age [1], whereas recommendation of the Canadian National Advisory Committee on Immunization calls simply for “rubella vaccination” in these women [2].
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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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".