Bibliographic record
Abstract
The rapid emergence of fluoroquinolone resistance among Neisseria gonorrhoeae isolates with a preexisting high prevalence of penicillin resistance in the past decade is of great concern. The prevalence of gonococcal resistance to ciprofloxacin has increased rapidly worldwide in the past few years, but this increase has varied considerably by country, ranging from 2.1% in Canada to 86.9% in China. In Taiwan, ciprofloxacin-resistant N. gonorrhoeae was first isolated in 1998. A remarkable increase in the prevalence of ciprofloxacin resistance was found between 2001 (66.7%) and 2003 (95.2%) at National Taiwan University Hospital. Previously established guidelines for the management of gonorrhea in adults in the United States and the United Kingdom recommended the use of a fluoroquinolone (e.g., ofloxacin, ciprofloxacin, or levofloxacin) as a first-line option for gonorrhea therapy. Failure of gonococcal infections caused by N. gonorrhoeae strains with resistance to ciprofloxacin to respond to treatment with these agents has been well documented. Accordingly, a fluoroquinolone is no longer a first-line option for the treatment of gonorrhea in many countries, particularly those with high incidence of fluoroquinolone resistance in gonococcal isolates. Spectinomycin and a cephalosporin (e.g., cefpodoxime or ceftriaxone) might be used as the first-line agent for the treatment of gonorrhea, although some gonococcal isolates exhibiting resistance to the above agents have been reported.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.004 | 0.001 |
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".