Bibliographic record
Abstract
Objective This investigation was conducted to find out the trends of incidence and prevalence of sexually transmitted diseases in Daxing District for the provision of a scientific basis for formulating strategies for the prevention and control of the diseases. Methods Meta-analysis of annual (quarter) reports on the epidemic of sexually transmitted diseases in the whole district was carried out. Results A total of 443 cases of 5 kinds of STD were reported in Daxing District in 2005 including NGU, gonorrhea, condylomata acuminata, syphilis, genital herpes and other sexually transmitted diseases, being 10.87% lower than the number of the cases in 2004. The spectrum of the diseases changed, with condylomata acuminata ranking the first. men and women were affected not by the same kinds of STD, men mostly affected by gonorrhea while women mostly by syphilis. The number of reported cases of STD from those at the age of 20-39 years who were sexually active was the largest, accounting for 70.65% of the total cases. Conclusion Reported cases of STD in Daxing district in 2005 were lower than those in 2004, but the incidence of some diseases still present a rising tendency, particularly STD with genital ulceration, which should be taken seriously.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".