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Record W4394844858 · doi:10.1016/j.ijid.2024.107062

Avian ‘Bird’ Flu – undue media panic or genuine concern for pandemic potential requiring global preparedness action?

2024· letter· en· W4394844858 on OpenAlexaboutno aff
Eskild Petersen, Ziad A. Memish, David S.C. Hui, Alessandra Scagliarini, Lone Simonsen, Edgar Simulundu, Jennifer Bloodgood, Lucille Blumberg, Shui Shan Lee, Alimuddin Zumla

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2024
Typeletter
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeDanmarks GrundforskningsfondEuropean and Developing Countries Clinical Trials PartnershipNational Research FoundationNational Institute for Health and Care Research
KeywordsInfluenza A virus subtype H5N1OutbreakHuman mortality from H5N1PandemicHighly pathogenicChinaGeographyTransmission and infection of H5N1VirologyEnvironmental healthBiologyMedicineDiseaseAvian influenza virusVirusInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Key words epidemics, avian influenza, H5N1, highly pathogenic avian influenza, HPAI

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)0.003
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.011
Open science0.0010.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0170.003

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 head0.101
GPT teacher head0.433
Teacher spread0.332 · 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
GenreCommentary

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

Citations7
Published2024
Admission routes1
Has abstractyes

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