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Record W4232371356 · doi:10.1080/15417060390254319

Human Calicivirus Infection in Infants and Young Children of the Metropolitan Washington, DC Area

2003· article· en· W4232371356 on OpenAlexaboutno aff
Nalini Singh, Bruce M. Sprague, John Balbus, Kim Y. Green

Bibliographic record

VenueJournal of Children s Health · 2003
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsCalicivirusSerologyNorwalk virusVirologyVirusAntibodyTiterRotavirusMedicineCaliciviridaeViral diseaseNorovirusImmunology

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.342
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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