Bibliographic record
Abstract
From Editor’s Desk… The number of dengue fever infections in Central and South America has nearly tripled to a record high this year, despite Egypt being proclaimed malaria-free after a century of efforts, according to the Pan American Health Organization. Malaria is as old as Egyptian civilization, but the disease that plagued pharaohs is now part of its history, said WHO Director-General Tedros Adhanom Ghebreyesus. At the same time, another viral outbreak caused by the Oropouche virus from the Peribunyaviridae family was reported in August 2024, and three more countries and one territory (Ecuador, Guyana, Panama, and the Cayman Islands) reported confirmed Oropouche virus disease in the Americas in 2024. Furthermore, imported Oropouche cases have been documented in Canada, the United States, and other European countries. The Region of the Americas, which includes ten different nations and one territory; Bolivia, Brazil, Canada, Cayman Islands, Colombia, Cuba, Ecuador, Guyana, Panama, Peru, and the United States of America has reported 634 11 confirmed Oropouche cases as of November 25, 2024, including two confirmed fatalities. In light of the region beginning arbovirus season, WHO advises vulnerable nations to improve entomological and epidemiological surveillance as well as population prevention efforts. This is important because of the virus›s geographic spread and potential novel vectors and routes of transmission, including vertical transmission, which might impact vulnerable populations like unborn children, pregnant women, and their fetuses. Dr. Khalid Mohammed Alabdulwahhab Editor in Chief
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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.242 | 0.132 |
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".