Bibliographic record
Abstract
C. trachomatis is one of the most common cause of STDs such as urethritis in men and cervicitis in women.Many of the infected adolescents and young adults are reported as asymptomatic reservoirs of C. trachomatis and are unaware of their infections.The untreated cervicitis infections of C. trachomatis cause many reproductive complications including PID, increasing chance of the development of cervical neoplasia, rupture of the membranes in pregnancy and chorioamnionitis.In this study the prevalence of C. trachomatis in FVU specimens of women with cervical infections and their IgM titers were investigated by PCR and serology, respectively.This study was conducted from May to September 2015 at teaching hospital of Razi, Ahvaz, Iran.In this study, from each woman participants one FVU sample and one blood sample was provided and overall 163 FVU and blood samples were collected from sexually active women (15-45 years) who had the symptomatic genital infections.Detection of C. trachomatis DNA was performed in FVU samples by PCR.Also, anti_C.trachomatis IgM antibody in the serum samples were recognized.Out of 163 FVU samples, 41(25.1%)cases were positive based on PCR technique.The anti C. trachomatis IgM was detected in 46 (28.2%) cases.In this study, there was a clear association between C. trachomatis infections with abortion, post coital bleeding and dyspareunia.Also, it seems both PCR and serology methods are appropriate for diagnosis of C. trachomatis infections.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.957 | 0.962 |
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; the direct Gemma label and the distilled Codex classifier 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".