Antibody levels against Newcastle Disease Virus in chickens in Rajshahi and surrounding districts of Bangladesh
Bibliographic record
Abstract
A serological survey on the prevalence of antibodies to Newcastle disease virus (NDV) was carried out in broiler and layer chickens in Rajshahi and surrounding districts of Bangladesh. A total of 960 sera samples were collected from broiler (102) and layer (90) farms during the period from January to December 2008. Haemagglutination inhibition (HI) test was performed using NDV antigen to determine antibodies against NDV. The overall seroprevalence of antibodies to NDV in broiler and layer chickens were 78.04% (510 samples) and 96.67% (450 samples), respectively. Antibody levels against NDV were recorded in different age groups for both broiler and layer chickens. Seroprevalence of antibodies to NDV was found significantly (p<0.05) higher in young (broiler 23.88%, layer 11.33%) than in adults (broiler 18.38%, layer 9.22%). Again these levels were recorded in different seasons of the year, with significantly (p<0.05) higher during summer in comparison to other seasons. The level of protection of broilers was found unsatisfactory which must be improved by hyper-immunizing the hens before laying and adopting good managemental practices, whereas, the level of protection in layers was found satisfactory.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".