State of Iowa HIV and AIDS Surveillance Report,June 2005
Bibliographic record
Abstract
This quarter, we saw 17 HIV diagnoses, half the number of persons diagnosed in the first quarter of the year. For the two quarters, there were 50 diagnoses, keeping pace with last year’s number of diagnoses. Nineteen of the 50 (38%) received concurrent AIDS diagnoses. Of concern this year is the high number of persons reported without a risk. Over 40% of new cases were initially reported without a risk. Most of these cases are being investigated by disease prevention specialists. History shows us that a good proportion of these cases will be assigned to a risk category in the coming months as more is learned about their risks and the risks of their partners. Note that only 17% of cases diagnosed in 2004 remain without a known risk. There were 36 AIDS diagnoses in the first two quarters of 2005, just a bit ahead of what we saw last year. Fifteen of these were persons who had been diagnosed with HIV at least one year (fifteen years for two persons), and the rest received concurrent HIV and AIDS diagnoses.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 0.036 |
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".