Antibody levels against Newcastle Disease Virus in chickens in Rajshahi and surrounding districts of Bangladesh
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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) | 0.000 | 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 it