Surveillance of Antimicrobial Resistance in Salmonella, Shigella, and <i>Virvio cholerae</i> in Latin America and the Caribbean: A Collaborative Project
Bibliographic record
Abstract
Diarrheal disease is recognized as the most frequent cause of morbidity and mortality in children worldwide (1). Current estimates indicate that at least 3.5 million children under the age of five years die each year due to diarrhea (1). Indeed, the World Health Organization (WHO) and the Pan American Health Organization (PAHO) have identified acute gastroenteritis as a major health problem in all Latin American countries (2). Mortality associated with acute diarrhea is highest among infants younger than one year of age, and death rates average 20/1000 children born (2). The impact of lives lost, together with the high costs to local public health care systems associated with treatment of those afflicted, make prevention and control of diarrheal disease a priority health issue (2). Over the past decade, these concerns have been further reinforced by the emergence of antimicrobial resistance among the major groups of enteric pathogens causing disease.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".