The use of a vaccine to control necrotic enteritis in broilers in Western Canada.
Bibliographic record
Abstract
Necrotic enteritis (NE), caused by Clostridium perfringens bacteria, can be a devasting disease of broiler chickens resulting in high mortality, reduced feed intake and weight gain, and reduced profitability of a flock. Pathology is due to the potent exotoxins produced as C. perfringens grows in the intestine of rapidly-growing broilers. The problem is particularly difficult to control when wheat-based rations are fed to broiler chickens, despite the use of in-feed antibacterial medication and ionophore anticoccidials. A novel approach to the control of NE losses has been developed: passive immunity to the C. perfringens Type A alpha toxin, induced by vaccination of parent flocks with a toxoid vaccine. On-going field trials in Western Canada are examining the ability of passive immunity to replace or augment in-feed antibacterial medication when broilers are fed a wheat-based diet. Broiler flocks composed of the progeny of parent flocks vaccinated with the C. perfringens toxoid are compared under normal field growout conditions to control flocks from parents that were not vaccinated with the novel vaccine. Performance (mortality, weight, feed conversion, condemnation) of test flocks using vaccination for coccidiosis control will be compared to historical performance of the same farms. Performance of test flocks using infeed anticoccidials and antibacterials will be compared to concurrent control flocks. Results to date will be presented and discussed.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".