Molecular Characterization of Pasterulla Multocida in Fattening Bovine
Bibliographic record
Abstract
Pasteurella multocida infection has serious complications for both human and animal health. In bovines, it is the predominant cause of fatal pneumonia, with a mortality rate up to 100%, especially in severe undiagnosed cases. Therefore, this study was conducted for molecular identification and characterization of P. multocida in nasal swabs and pneumonic lung tissue in cattle calves less than one year suffered from pneumonia and respiratory disorders. The detection of P. multocida was higher in pneumonic lung tissue (40%) than in nasal swabs. Only 37 out of 109 collected samples were positive for P. multocida using bacteriological culture and those samples were confirmed by PCR targeting Kmt1 gene. The phylogenetic analysis of local P. multocida isolate revealed close relation with other P. multocida strains from bovine from Egypt, China, USA and Canada. Consequently, establishing a potent epidemiological surveillance program is necessary to decrease the spreading of disease and the economic losses among fattening calves.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".