Comparative analysis of recent infection with HIV and Long-standing infection in inner mongolia
Bibliographic record
Abstract
Objective:To get a fuller and more accurate knowledge of current characteristics and situation of the AIDS epidemic in Inner Mongolia.Methods:Collect the newly reported samples of those diagnosed HIV positive carriers in 12 Leagues and cities,Inner Mongolia,in the second quarter of 2011.Test them with BED-CEIA method to distinguish the recent infection sufferers with HIV from the long-standing infection ones.Compare the basic information and laboratory test results of the two groups.Results:Recent infection sufferers are characterized by a growing proportion of men,younger age,and an obvious decrease in ethnic minorities.Besides,relatively unmarried people have a larger proportion among the victims.And they tend to have higher literacy level.Recently,homosexual contact becomes the main transmission.The result shows recent infections suffer more from the lack of Westen Blot(WB) bands,bands p31 and gp41 are only absent in recent infections.At last,recent infections apparently have a larger number of CD4+ T lymphocytes than long-standing infections.Conclusion:HIV infection in Inner Mongolia shows a new trend,and AIDS prevention and control has a long way to go.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".