Antimicrobial Susceptibility of <i>Flavobacterium psychrophilum</i> Isolates from Ontario
Bibliographic record
Abstract
Flavobacterium psychrophilum is the etiological agent of bacterial coldwater disease (BCWD), an important disease in the Ontario fish farming industry and in finfish aquaculture in temperate waters worldwide. The development of antimicrobial resistance by F. psychrophilum is a concern because management of outbreaks of BCWD often requires the use of antibiotics. Seventy-two isolates of F. psychrophilum collected over a 16-year period from farmed salmonids with clinical signs of BCWD were tested for susceptibility to 10 antimicrobial agents using cation-adjusted Mueller-Hinton broth in custom Trek Sensititre susceptibility plates for aquaculture. The minimum inhibitory concentrations (MICs) for the isolates were determined by means of a broth microdilution antimicrobial susceptibility testing method established by the Clinical and Laboratory Standards Institute. Most of the F. psychrophilum isolates had decreased susceptibility to two of the four antibiotics licensed for use in Ontario (i.e., ormetoprim-sulfadimethoxine [> or =0.5/9.5 .tg/mL for 93% of isolates] and trimethoprim-sulfamethoxazole [> or = 0.25/4.8 microg/mL for 89% of isolates]). High MIC values (> or =2 microg/mL) were obtained for florfenicol and oxytetracycline in 53% and 61% of the isolates, respectively, and 83% of the isolates were relatively susceptible (< or =16 microg/mL) to erythromycin. The MIC values were also high for ampicillin, oxolinic acid, and gentamicin.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".