Revisión de Cisticercosis Bovina (Cysticercus bovis) en ganado faenado: Prevalencia, Distribución y viabilidad del cisticerco
Bibliographic record
Abstract
The purpose this review gathers the available information for easy acces and identifies where further research is required. Bovine cysticercosis is a zoonosis of socioeconomic and public health importance. Economically important to the meat industry, for losses incurred from condemnation, downgrading and refrigeration of carcasses. Dietary habits and culinary practices affect transmission. Taeniosis is more common in populations/age groups that consume raw or undercooked beef. The prevalence of bovine cysticercosis shows wide variation between countries, regions and slaughterhouses. High-prevalence in Eastern African countries, moderate prevalence in Asia and Latin America, and low prevalence in USA, Canada and Australia. The anatomical distribution of Cysticercus to the inspection is higher in heart and masseter muscles. While the anatomical distribution of Cysticercus to the total dissection is wide. According to the classification concerning viability, the occurrence of metacestode nonviable (dead) dominates viable (alive). From the Cysticercus alive, most are located in the masseter muscle followed by heart, tongue; whereas from those dead, most are located in the heart�s muscles, followed by masseter muscles and tongue. En conclusion the prevalence data on bovine cysticercosis usually come from meat inspection results. Many studies report on the low sensitivity of meat inspection, resulting in an underestimation of the prevalence of bovine cysticercosis. This partly explains the persistence of T. saginata in industrialised countries. The heart was confirmed as the preferred site for detection of cysticercosis based on high cyst density and frequency of infection. More extensive examination of the heart is recommended to improve detection of infected animals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".