All editorial matter in CMAJ represents the opinions of the authors and not necessarily those of the Canadian Medical Association. Commentary CMAJ
Bibliographic record
Abstract
In this issue of CMAJ, Ota and colleagues1 report a sub-stantial increase in infections of quinolone-resistantNeisseria gonorrhoeae in the province of Ontario. The increase, from 4 % in 2002 to 28 % in 2006, has been occur-ring in a time of rising rates of gonorrhea. The epidemio-logic investigations of Ota and colleagues show that high rates of resistance to quinolones are significantly associated with male sex and age over 30 years. Quinolone-resistant N. gonorrhoeae was detected with similar frequency in men who have sex with men and in heterosexual men. At one clinic attended by men who have sex with men, resistant strains represented 55 % of isolates. Making sense of these trends starts with understanding the microbiology of the organism. Much of the genetic material of N. gonorrhoeae is subject to high rates of change by way of both spontaneous mutation and acquisition of external genetic material through horizontal gene transfer. The notori-
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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.085 | 0.037 |
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".