Prävalenz von HIV-Antikörpern bei Blutspendern in der Bundesrepublik Deutschland und in West-Berlin
Bibliographic record
Abstract
Since 1985 all donor blood in the Federal Republic of Germany (FRG) and West Berlin (WB) have been routinely tested for HIV antibodies. The blood donor services of the German and Bavarian Red Cross have pooled their anti-HIV test data for the first year of operation (July 1985-June 1986) to obtain information on the prevalence of HIV antibodies in blood donors and in donated blood. Of 2.27 million units of blood, donated by 1.33 million donors, 218 were anti-HIV positive in the Western Blot Test, i.e. a prevalence rate of 10 per 100,000 donors. The prevalence was, as expected, higher in males than females. During the test period the anti-HIV prevalence fell, both as a total and in all subpopulations. In the second quarter of 1986 it had decreased to 6 per 100,000 donated units.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".