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Record W2370771575

[Evaluation on the safety and immunogenicity of Canada split influenza virus vaccine].

2005· article· en· W2370771575 on OpenAlexaboutno aff
Yuemei Hu, Xuefeng Zhang, Yi-ju Zhang, Shiwei Zhu, Fengcai Zhu

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsImmunogenicityMedicineVaccinationTiterInfluenza vaccineStatistical significanceAntibodyAntibody titerInternal medicineVirologyImmunology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the safety and immunogenicity of Canada split influenza virus vaccine. METHODS: Cluster samples were by randomly chosen and divided into split vaccination group and homoimported influenza vaccination group. RESULTS: After injection, fever-reaction and local reaction rates of 'trial' group were found as 3.69% and 1.75% respectively, but no statistical significance was found when compared with 'control' group. However the antibody positive rates of 'trail' and 'control' groupsappeared statistically significant (H1N1: 96.8% vs. 92.3%, H3N2: 95.8% vs. 90.2%, B: 52.3% vs. 62.3%). For geometric mean titer (GMT) of type H1N1, H3H2 and B antibody, 'trial' group and 'control' group increased 22.4, 16.8, 8.2 and 21.2, 12.5 and 7.4 times respectively. The antibody protective rates of type H1N1, H3N2 and B were 99%, 99% and 53.9% for 'trial' group, and 96.2%, 98.4% and 62.3% for 'control' but with no statistically significant difference. CONCLUSION: Influenza split vaccine made in Shire company in Canada was safe and with good immunogenicity.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.237
Teacher spread0.204 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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