Antimicrobial susceptibility patterns of eampylobacter coli isolates from swine and humans
Bibliographic record
Abstract
An increase in resistance to various antimicrobial agents has been reported in many countries for Campylobacter species. In order to study their resistance profiles to various antimicrobial agents, strains ofC. coli isolated from slaughtered pigs and from human patients were examined for resistance to quinolones and other antimicrobial agents by agar dilution technique. Resistance to tetracycline was common for human (53 %) and swine (68 %) isolates. Higher level of resistance to streptomycine was found in swine isolates (67 %) than in human (24 %) isolates. Human isolates were more frequently found to be resistant to enrofloxacin and ciprofloxacin (18 and 24 %) than swine isolates (7 and II %). Sixty one percent C. coli from swine were resistant to erythromycine while only 12 %of C. coli of human origin were resistant. Emergence of resistance to macrolides, tetracyclines and quinolones is of interest in regard with possible dissemination of genetic resistance determinants to humans.
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 | 0.000 |
| 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) | 0.001 | 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".