Bibliographic record
Abstract
Syphilis is a multi-phase sexually transmitted disease through contacting with a partner infected by syphilis or from a gravida to her newborn congenitally. The reappearance of syphilis is a severe public health concern, particularly because syphilis lesions would boost the chance of acquiring and spreading human immunodeficiency virus (HIV) infection. A dose of benzathine penicillin G (BPG) through intramuscular injection is the current treatment for syphilis, which is the optimal treatment for all stages of syphilis. Although some alternatives such as doxycycline and ceftriaxone are also evidently effective, the optimal therapy is still BPG, especially in latent syphilis and pregnancy. Because of the clinically significant azithromycin resistance, this second-line medication is no longer used routinely. Currently, macrolide resistance is the only antibiotic resistance with clinical evidence. Even though still no vaccine is published for syphilis, syphilis is a promising disease for vaccine development. The vaccine for syphilis is currently under research. This paper contained information about the pathological process, symptoms, diagnosis of syphilis, and effective treatment using antibiotics. The review also discussed future vaccine directions.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".