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Record W2406317166

[Avian influenza virus].

2005· article· en· W2406317166 on OpenAlexaff
Akiko Makino, Yoshihiro Kawaoka

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsVirologyH5N1 genetic structureInfluenza A virus subtype H5N1NeuraminidaseBiologyAntigenicityVirusHemagglutinin (influenza)Antigenic driftNucleoproteinAntigenic shiftViral matrix proteinInfluenza A virusPandemicMicrobiologyInfectious disease (medical specialty)AntigenDiseaseGeneticsMedicineCoronavirus disease 2019 (COVID-19)
DOInot available

Abstract

fetched live from OpenAlex

Influenza viruses are classified as A, B, or C based on the antigenicity of their nucleoproteins and matrix proteins. Influenza A viruses are further categorized into subtypes based on the antigenicity of two of their surface proteins, the hemagglutinin and neuraminidase. All avian influenza viruses are type A viruses. While the majority of avian influenza viruses are avirulent, viruses of a limited number of subtypes cause severe disease in birds. This difference in pathogenicity among avian influenza viruses is primarily determined by the amino acid sequence at the viral hemagglutinin cleavage site. Since 1997, there have been multiple reports of human infection by highly pathogenic avian influenza viruses. Acquisition of the ability to cause human-to-human transmission by avian influenza viruses will confront the human population with an influenza pandemic crisis. Here we review the molecular basis of pathogenicity of avian influenza viruses in humans.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.021

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 head0.115
GPT teacher head0.358
Teacher spread0.244 · 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 designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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Same venuePubMed→Same topicInfluenza Virus Research Studies→French-language works237,207→