MétaCan
Menu
Back to cohort
Record W1995035467 · doi:10.2174/156652405774962281

Emerging Influenza Viruses: Past and Present

2005· review· en· W1995035467 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Molecular Medicine · 2005
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsPublic Health Agency of Canada
FundersNational Institute of Allergy and Infectious DiseasesJapan Science and Technology AgencyPublic Health Agency
KeywordsPandemicOutbreakTransmission (telecommunications)VirologyInfluenza A virus subtype H5N1BiologyVirusPopulationDiseaseHuman mortality from H5N1H5N1 genetic structureCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Environmental healthMedicine

Abstract

fetched live from OpenAlex

Influenza is an example of a disease for which the viral pathogen has emerged into the human population many times over past centuries, sometimes with devastating consequences [1]. Historical records provide vivid descriptions of past influenza outbreaks, and the viruses that caused the pandemics of the last century remain subjects of great interest. It is almost certain that a new pandemic, caused by the zoonotic transmission of a new influenza virus into humans, will occur. The recent outbreaks of the highly pathogenic H5 and H7 subtype viruses in poultry and their limited transmission into humans, as well as transmission of H9 subtype viruses, have raised concerns that conditions are developing for the generation of a new pandemic virus. In this paper, we review past pandemics, viral determinants of cross-species transmission of viruses, molecular factors that contribute to disease, and preventative measures to reduce the impact of a future 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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.220
GPT teacher head0.508
Teacher spread0.288 · 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