Clinical Studies on Ear Infections, Microbiological Evaluation and Therapeutic Management in Canines
Bibliographic record
Abstract
A total 116 dogs were presented with various affections of the ear, among them 67 (57.76%) cases were having the symptoms of otitis. The higher incidence was found in the age groups of 1-5 year (44.77%, n=30) followed other age groups. The breed wise incidence of was found to be highest in the Labrador (35.82%, n=24) followed by other breeds. 35 cases had bilateral (52.23%), 21 dogs had only right side ear (31.34%) involvement and 11 dogs had left side ear (16.41%) infection. Out of total 67 cases 58.20 percent (n=39) cases were male and 41.80% percent (n=28) cases were female.102 pus samples were collected aseptically for microbiological evaluation and antibiotics sensitivity test revealed 251 isolates from eight bacterial species. The bacterial isolates had different sensitivity pattern. Staphylococcus Spp. was found to be most dominant isolate and found highly sensitive to Cefotaxim and Ceftriaxone. The antibiotics sensitivity testing revealed Gentamycin (17.93%, n=45) to be highly sensitive drug followed by other antibiotics. All the dogs were recovered well without reoccurrence during period of study.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".