Human Calicivirus Infection in Infants and Young Children of the Metropolitan Washington, DC Area
Bibliographic record
Abstract
Sequential serum samples collected from individuals at approximately 3, 8, and 13 months of age who were enrolled in a rotavirus vaccine study conducted in Washington, DC from October 1989 through January 1990, were analyzed for the presence of antibodies to the Norwalk, Hawaii, and Toronto strains of human calicivirus by an enzyme-linked immunosorbent assay. Antibodies were detected to the Hawaii, Norwalk, and Toronto viruses in 29 (85.3%), 24 (70.6%), and 27 (79.4%) of the serum samples, respectively, obtained from 34 children approximately one year following the final dose of rotavirus vaccine. Evidence was found for a high infection rate with these three viruses, with the highest frequency of serologic responses detected between the 8- and 13-month time points. During this period, 14 (42.4%), 13 (39.4%), and 16 (48.5%) of the 33 children tested showed evidence for a serologic response to Hawaii virus, Norwalk virus, and Toronto virus, respectively, as evidence by a 4-fold increase in antibody titer. Our data indicate that human calicivirus infections are common in young individuals living in die metropolitan Washington, DC area.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".