Distribution, Burden, and Impact of Acute Gastroenteritis in Dominica,\n2009-2010
Bibliographic record
Abstract
Acute gastroenteritis (AGE) is defined as the passage of three or more loose or liquid stools per day and is also known as acute diarrhoeal disease.It has long been recognized as a leading cause of child morbidity and mortality in the world; about two billion cases of diarrhoeal diseases are reported globally every year (3).The recent outbreak of cholera in Haiti reinforced acknowledgement of the ongoing threat of AGE in the Caribbean (4).Data collected by the Caribbean Epidemiology Centre (CAREC) from its member countries show high and increasing numbers of reported cases of AGE (5); however, the exact distribution and burden of AGE is not fully known at this time.In Dominica, there are syndromic and laboratorybased surveillance systems for AGE.These data are reported weekly to Health Information Unit of the Ministry of Health.Syndromic AGE data in Dominica indicate that AGE is the second-most common communicable disease syndrome after acute respiratory illness (ARI) and that 1,510 and 1,020 cases of AGE (in <5 years and >5 years age-groups) Distribution, Burden, and Impact of Acute Gastroenteritis in Dominica, 2009-2010
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".