Molecular analysis of antimicrobial resistance mechanisms in Neisseria gonorrhoeae isolates from
Bibliographic record
Abstract
ABSTRACT 23 Surveillance of gonococcal antimicrobial resistance and the molecular 24 characterization of the mechanisms underlying these resistance phenotypes are essential 25 in order to establish correct empirical therapies as well as to describe the emergence of 26 new mechanisms in local bacterial populations. To address these goals, 149 isolates were 27 collected over a 1-month period (October-November, 2008) at the Ontario Public Health 28 Laboratory, Toronto, and susceptibility profiles (8 antibiotics) were examined. Mutations 29 in previously identified targets or the presence of some enzymes related with resistance 30 (R), non-susceptibility (nS, R plus intermediate categories) or reduced susceptibility (rS) 31 to the antibiotics tested were also studied. A significant proportion of non-susceptibility 32 to penicillin (PEN, 89.2%), tetracycline (TET, 72.3%), ciprofloxacin (CIP, 29%) and 33 macrolides (erythromycin-ERY- and azithromycin, 22.3%) was found in these strains. 34
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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".