A Case of Subclinical Rubella Infection During Pregnancy
Bibliographic record
Abstract
Japan is one of the few countries with no eradication of rubella infection. We report here a case of subclinical infection of rubella during the first trimester of the pregnancy. A 21-year-old woman, gravida 1, para 0, refereed to our hospital due to high-risk consultation for fetal growth restriction at 30 weeks of gestation. Her pregnancy had progressed uneventfully during the first trimester of the pregnancy. At 34 weeks of gestation, she received cesarean section and gave birth to a male baby of 1,300 g. In the neonate, pancytopenia and cataract due to viral infection were recognized. The specific immunoglobulin M (IgM) antibody against rubella virus was high (8.01) and the polymerase chain reaction using urine revealed deoxyribonucleic acid of rubella virus. It may be difficult to diagnose all cases of rubella infection in adults with clinical symptoms and/or antibody testing. Therefore, eliminating rubella infection with vaccine is one of urgent issues in Japan. Clin Infect Immun. 2020;5(2):39-40 doi: https://doi.org/10.14740/cii98
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".