Pregnancy related listeriosis: treatment and control
Bibliographic record
Abstract
Listeriosis during pregnancy usually presents as an unremarkable febrile illness in the mother but can be fatal for the fetus and newborn. Reliable laboratory testing for early diagnosis is lacking. Serological antibody tests and bacteriological stool tests are not helpful since Listeria-specific antibodies and stool cultures yielding the organism can be found in healthy pregnant women. Because early diagnosis is difficult, diagnosis is usually made by culturing the pathogen from blood, cerebrospinal fluid, placenta or meconium. The mortality rate for fetal and newborn listeriosis remains approximately 20%. Two to three cases of pregnancy-associated listeriosis are reported annually in Austria among approximately 79,000 births, 20-30 cases are reported annually in Germany among approximately 680,000 births and 50-100 cases are reported annually in the USA among approximately 4 million births. Although Listeria infections in pregnancy are rare, they should be considered as a cause of fever of unknown origin during pregnancy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".