Gastroenteric, Zoonotic and Vectorborne Diseases in Ireland: Quarterly report: Quarter 1, 2024
Bibliographic record
Abstract
See HPSC website for information on prevention of gastroenteritis: Gastroenteritis Fact Sheet \n• \nEnsure that you regularly wash your hands with soap under warm running water and especially: \n• \nAfter using or cleaning the toilet \n• \nAfter attending to anyone with diarrhoea or vomiting or touching anything contaminated by diarrhoea or vomiting \n• \nAfter handling household and garden waste or rubbish (including nappies) \n• \nAfter touching or handling pets or other animals \n• \nOn returning to the house having been working in the garden or on the farm \n• \nBefore handling, preparing, serving, or consuming food or drink \n• \nCook meats and eggs thoroughly before consumption. \n• \nClean kitchen work surfaces and utensils with soap and water immediately after they have been in contact with raw meat. \n• \nWash fruit and vegetables thoroughly in clean water, especially those that will not be cooked further.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.037 |
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".