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Record W3081661859 · doi:10.1080/15398285.2020.1794193

Influenza Pandemic: A Webliography

2020· article· fr· W3081661859 on OpenAlexaff
Marcia Salmon

Bibliographic record

VenueJournal of Consumer Health on the Internet · 2020
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsYork University
Fundersnot available
KeywordsPandemicOutbreakHuman mortality from H5N1Isolation (microbiology)Influenza pandemicChinaCoronavirus disease 2019 (COVID-19)CoronavirusInfluenza A virus subtype H5N1GeographyVirologyDiseaseInfectious disease (medical specialty)MedicineVirusBiologyPathology

Abstract

fetched live from OpenAlex

A pandemic is a global outbreak of disease. Currently, the world is experiencing an influenza pandemic caused by the novel coronavirus (COVID-19) which is believed to have originated in Wuhan province of China in the autumn of 2019. During this unique time of self-isolation to halt the community spread of this virus, the following webliography aims to provide information regarding influenza pandemics. This article outlines the World Health Organization’s six-phase classification system for a flu pandemic, and it discusses the difference between pandemics and epidemics and reviews the cause and effect of past influenza pandemics. This webliography is a guide for consumers to reliable websites that provide information on influenza pandemics.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.131
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1310.098

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 head0.043
GPT teacher head0.325
Teacher spread0.283 · 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
GenreOther

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

Citations1
Published2020
Admission routes1
Has abstractyes

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