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Record W4387425100 · doi:10.1016/j.ebiom.2023.104827

Characterization of highly pathogenic clade 2.3.4.4b H5N1 mink influenza viruses

2023· article· en· W4387425100 on OpenAlexaboutno aff
Tadashi Maemura, Lizheng Guan, Chunyang Gu, Amie J. Eisfeld, Asim Biswas, Peter Halfmann, Gabriele Neumann, Yoshihiro Kawaoka

Bibliographic record

VenueEBioMedicine · 2023
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersDaiichi Sankyo EuropeNational Institute of Allergy and Infectious DiseasesOtsuka PharmaceuticalShionogiJapan Agency for Medical Research and Development
KeywordsInfluenza A virus subtype H5N1VirologyCladeBiologyOutbreakVirusMinkHighly pathogenicTransmission (telecommunications)Influenza A virusHost (biology)Phylogenetic treeGeneGeneticsEcology

Abstract

fetched live from OpenAlex

Highly pathogenic avian H5 influenza viruses (HPAI) have caused more than 957 human infections, but do not transmit via respiratory droplets among mammals, although genetically modified HPAI H5 viruses can acquire this ability.1,2 HPAI H5N1 viruses of clade 2.3.4.4b emerged in Europe in late 2020 and have caused major outbreaks in multiple continents. Mass mortality events of 2.3.4.4b clade viruses in mink3 and sea mammals4 suggest high infectivity and pathogenicity among mammals. A recent study evaluated the pathogenicity and transmissibility of several clade 2.3.4.4b H5N1 viruses isolated in Canada.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.106
GPT teacher head0.392
Teacher spread0.286 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations36
Published2023
Admission routes1
Has abstractyes

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