<i>Echinococcus granulosus</i>
Bibliographic record
Abstract
Echinococcus granulosus is also called the hydatid worm, which a parasite that infects humans and animals. It causes zoonotic disease known as echinococcosis (hydatidosis). Adult worms live in the intestines of dogs that are the definitive host. Hydatidosis is known since ancient times and is one of the epidemic diseases that is dangerous to humans in terms of health and economy in most countries of the world. Hydatidosis or echinococcosis unilocular is common in many Arab countries, including Libya, Sudan, Egypt, Lebanon, Syria, Algeria, Palestine, Iraq, and others as well as North, East, and South Africa, Western and Southern Europe, and South America. Studies indicate that the disease is spreading in areas that were previously completely free of it such as North America and Canada. It was also noted that the incidence of the disease in rural areas is close to 50%, and this is due to the large breeding of farm animals and the presence of meat eaters, which helps to complete the life cycle of this parasite, which needs the intermediate host (farm animals and humans) and the definitive host (Canidae).
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.084 | 0.064 |
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".