[Increased risk of hepatitis B due to incomplete or untimely immunisation in one-quarter of infants of hepatitis-B-virus carriers].
Bibliographic record
Abstract
OBJECTIVE: To determine the frequency of an increased risk of infection in children of hepatitis-B-virus carriers due to incomplete or untimely hepatitis-B immunisation. DESIGN: Descriptive. METHOD: Dates of birth and hepatitis-B immunisations were collected for all documented children of hepatitis-B-virus carriers in the vaccination registers, born in 2000 in The Netherlands. To assess the possible increased risk of infection, criteria were drawn up for the completeness and timeliness of the immunisations and on the basis of these the number of children who possibly had an increased risk of infection was determined. RESULTS: In total, 731 of the 769 children (95%) had received hepatitis-B immunoglobulins and at least 3 vaccinations. For 200 children (26%) the deviation from the immunisation schedule was so great that the child was possibly (temporarily) inadequately protected. CONCLUSION: A quarter of the children of hepatitis-B-virus carriers were immunised incompletely or at the wrong time. This calls for an adjustment of the immunisation schedule and national guidelines in which the responsibilities and tasks are clearly defined.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 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".