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Record W4282915452 · doi:10.1016/s1473-3099(22)00359-0

Tracking the 2022 monkeypox outbreak with epidemiological data in real-time

2022· letter· en· W4282915452 on OpenAlexaff
Moritz U. G. Kraemer, Houriiyah Tegally, David M. Pigott, Abhishek Dasgupta, James Sheldon, Eduan Wilkinson, Marinanicole Schultheiss, Aimee Han, Mark Oglia, Spencer Marks, Joshua Kanner, Katelynn O’Brien, Sudheer Dandamudi, Benjamin Rader, Kara Sewalk, Ana I. Bento, Samuel V. Scarpino, Túlio de Oliveira, Isaac I. Bogoch, Rebecca Katz, John S. Brownstein

Bibliographic record

VenueThe Lancet Infectious Diseases · 2022
Typeletter
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of Toronto
FundersGoogleWellcome TrustRockefeller Foundation
KeywordsMonkeypoxOutbreakEpidemiologyVirologyTracking (education)Computer scienceMedicineBiologyPsychologyInternal medicineVaccinia

Abstract

fetched live from OpenAlex

Monkeypox virus was first documented in humans in the 1970s and outbreaks have been reported in many countries, with most cases restricted to endemic areas.1 In early May, 2022, monkeypox cases were reported in the UK, Spain, and elsewhere in Europe (figure, appendix).2 The pattern of geographical dispersal was much larger compared with past outbreaks that were more localised and occurred often in under-resourced communities.3 The size of the outbreak clusters is growing each day, as is the geographical spread across Europe and North America.

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)0.005
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0250.016
Insufficient payload (model declined to judge)0.0060.006

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 head0.055
GPT teacher head0.312
Teacher spread0.256 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations171
Published2022
Admission routes1
Has abstractno

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