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Record W3081661859 · doi:10.1080/15398285.2020.1794193

Influenza Pandemic: A Webliography

2020· article· fr· W3081661859 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

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.043
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