Epidemiological Studies on Canine Microfilariosis due to Dirofilaria repens in and around Mangalore- a Coastal Region of Karnataka
Bibliographic record
Abstract
A study was conducted to ascertain the epidemiology of canine microfilariosis in and around Mangalore a coastal region of Karnataka for a period of one year from March-2018 to February-2019. A total of 214 blood samples were collected from dogs suspected for microfilariosis and were screened for microfilaria by modified knott's method. Among 214 samples screened, 95 samples were found positive for microfilaria with an overall prevalence of 44.39 per cent. The species of microfilaria was identified as D. repens based on the morphology and micrometry. Age wise prevalence was found highest in adult dogs and least in puppies. During the study, highest prevalence was observed during North-east monsoon season from October to December months (71.42%). The breed wise prevalence showed highest in Labrador, followed by Doberman and Golden retriever dogs. The gender wise prevalence was found higher in males (71.05%) than females. The infection was found more in dogs kept outdoor as well as near drainage area.
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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 | 0.001 | 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".