Role of wild and domestic animals in the transmission of Trichinella parasites
Bibliographic record
Abstract
Human trichinellosis is a worldwide zoonosis caused by different species of Trichinella, which can survive and adapt to the environmental conditions. Over the last decades molecular biology breakthrough allows the identification of encapsulated and non-encapsulated clades on all continents. The following species and genotypes: T. spiralis, T. nativa, T. nelsoni, T. britovi, T. murrelli, T. patagoniensis, T. chanchalensis (the last species found in Canada, in Gulo gulo), T6, T8 and T9 belongs to the encapsulated clade while T. pseudospiralis, T. papuae and T. zimbabwensis belong to the non encapsulated clade. In America and other continents, Trichinella infection is a health issue for people, which has a negative impact on meat markets. Trichinellosis is endemic in Argentina and during the 2019-2021 period, there were 1532 human cases. Carnivores act as concentrators and contribute to the maintenance of the parasite in nature. In pigs, the establishment of larvae, generate important disturbances and pathological changes in skeletal muscles and organs. Wild boars (Sus scrofa) are excellent hosts for the genus Trichinella and, as occurs in pigs, symptoms are scarce. Horses and herbivores can acquire Trichinella spp. through occasional consumption of infected meat. It is important to consider that all domestic and wild animals destined for consumption must be analyzed to avoid the disease in man.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".