Epidemiologie des HIV bei Blutspendern in der Bundesrepublik Deutschland
Bibliographic record
Abstract
Of a total of 5.6 million blood donations by 1.6 million German Red Cross donors between July, 1985 and December, 1987 tested for HIV antibodies 210 were found to be positive in at least one Western blot. Calculated per quarter, the prevalence (for first-time donors) of 10 per 100,000 in 1985 decreased to 4 per 100,000 in 1986, while the incidence (for multiple donors) was a constant 2 per 100,000 for each quarter in 1987. This indicates that new HIV infections were rare in blood donors and there was no exponential increase. Further analysis revealed that over 90% of those with confirmed Western blot positive results were members of risk groups or their direct contacts. The age and sex distribution conformed to the known pattern for AIDS cases in the Federal Republic of Germany. The data demonstrate that there is at present no indication of a rapid spread of HIV infections transmitted heterosexually among blood donors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.012 |
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; both teacher heads agree on what is shown here.
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".