Measles: a disease often forgotten but not gone
Bibliographic record
Abstract
family. The illness typically begins with fever, runny nose, cough, and pathognomonic enanthem (Koplik spots) followed by a characteristic erythematous, maculopapular rash. The rash classically begins on the face and becomes more confluent as it spreads cephalocaudally. Laboratory confirmation of measles virus infection can be based on a positive serological test for measles-specific immunoglobulin M antibody, a four-fold or greater increase in measles-specific immunoglobulin G between acute and convalescent sera, isolation of measles virus in culture, or detection of measles virus ribonucleic acid by reverse transcriptase-polymerase chain reaction. Complications occur in 10% to 40% of patients, and treatment is mainly symptomatic. Bacterial superinfections, if present, should be properly treated with antibiotics. To eradicate measles, universal childhood immunisation and vaccination of all susceptible individuals with measles vaccine would be ideal. In developed countries, routine immunisation with measles-containing vaccine is recommended, with the first and second doses at ages 12 to 15 months and 4 to 6 years, respectively. The World Health Organization recommends that the first and second doses of measles-containing vaccine be given at ages 9 months and 15 to 18 months, respectively, in countries with high rates of measles transmission.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".