Occurrence of post weaning multisystemic wasting syndrome in crossbred pigs of Uttar Pradesh and Uttarakhand, India
Bibliographic record
Abstract
Post weaning multisystemic wasting syndrome (PMWS) was first recognized in Canada in 1996 as a new emerging disease which caused wasting in post weaned pigs. Since then, PMWS has been recognized globally during the last decade. The present study was carried out to study occurrence of PMWS in pigs of organized pig farms in northern states of India i.e. Uttar Pradesh and Uttarakhand. A total 234 pigs out of 798 pigs in the age group of 5–12 weeks from a swine population of 1,298 were clinically examined over a period of 1 year. Thorough postmortem examination was carried out in 18 dead piglets and in 16 terminally ill piglets exhibiting clinical signs of PMWS, which were euthanized. Histopathology followed by immunohistochemistry and in situ hybridization with PCR techniques were used for diagnosis of the disease. This study is reporting high prevalence of PMWS in crossbred pigs of organized pig farms in Uttar Pradesh and Uttarakhand of India.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".