Isolation and characterization of the Enterococcus faecalis strain isolated from red tilapia (Oreochromis hybrid) in Indonesia: A preliminary report
Bibliographic record
Abstract
The number of fishes were conducted a series of bacteriological examinations to confirm the clinical symptoms that appeared and led to streptococcal infection. Results of the external examination from two moribund red tilapia found the hemorrhagic traces in some parts of the body such as the cranial area near the mouth, eyes, operculum, and some body parts and erosion on the tail, pectoral, and dorsal fin. Internally, no pathological changes were found in the brain and visceral organs. The morphological, biochemical, and molecular examination using the 16S rRNA universal gene and sequencing analysis of PCR products from two moribund red tilapia resulted in both isolates are Enterococcus faecalis bacteria with low virulence. Antibiotics susceptibility test indicated that the isolates were resistant to ampicillin and penicillin. Based on the results of the comprehensive bacterial examination, we concluded that E. faecalis were found as the cause of streptococcosis, infecting and causing mild lesions in red tilapia. To our knowledge, this finding is the first report of isolation and characterisation of the E. faecalis strain isolated from red tilapia in Indonesia.
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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 | 0.000 |
| 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) | 0.001 | 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".