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Record W2053090168 · doi:10.1586/14787210.6.5.581

Emerging viruses: risk of pandemic

2008· article· en· W2053090168 on OpenAlexaffabout
Patrick Labonté, Nabil G. Seidah

Bibliographic record

VenueExpert Review of Anti-infective Therapy · 2008
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsMontreal Clinical Research InstituteInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPandemicInfluenza A virus subtype H5N1Coronavirus disease 2019 (COVID-19)Political scienceVirologyEconomic growthGeographyMedicineVirusPathology

Abstract

fetched live from OpenAlex

The International Consortium on Anti-Virals (ICAV) is a nonprofit organization that aims to support the development of antivirals for life-threatening and emerging viruses. In recent years, ICAV's emphasis has been predominantly on tropical viruses and avian influenza. The Sixth International Symposium of the ICAV was held at Trent University, Peterborough, Canada, and at MaRs Discovery District, Toronto, Canada, 4-6 May 2008. Approximately 100 participants representing 12 countries attended the symposium. This meeting report focuses on two thought-provoking presentations on topics that require immediate attention: the development of potent broad-spectrum antivirals against emerging viruses and the assessment of the risk of a H5N1 influenza pandemic.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.324
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.097
GPT teacher head0.438
Teacher spread0.341 · 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 designObservational
Domainnot available
GenreReview

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

Citations3
Published2008
Admission routes2
Has abstractyes

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