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Record W2895484534 · doi:10.1371/journal.ppat.1007129

Horsepox and the need for a new norm, more transparency, and stronger oversight for experiments that pose pandemic risks

2018· article· en· W2895484534 on OpenAlexaboutno aff
Tom Inglesby

Bibliographic record

VenuePLoS Pathogens · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsnot available
FundersOpen Philanthropy Project
KeywordsTransparency (behavior)PandemicNorm (philosophy)Coronavirus disease 2019 (COVID-19)Computer scienceComputer securityPolitical scienceMedicineLawInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

In January, Dr. David Evans from the University of Alberta and his colleagues published a scientific paper describing the synthesis of the horsepox virus de novo [1].Horsepox doesn't cause infection in humans, but another related virus-Variola major-causes smallpox.The publication of the horsepox synthesis process lowers technical hurdles for making smallpox de novo.This commentary argues that there are serious potential adverse implications of this work that don't justify the purported benefits.It also makes the case that there should be a new norm related to experiments that increase pandemic risks and that there should be more transparency and stronger oversight for biological research and science that increases pandemic risks. Implications of synthesisHorsepox is in the same viral family as smallpox; both are orthopox viruses.There has been no prior published report of an orthopox synthesis, so this experiment is the first time researchers have published a description of how to make a virus closely related to smallpox.In doing and publishing the horsepox synthesis work, the researchers have reduced uncertainties and addressed potential barriers that scientists would encounter in an effort to synthesize smallpox.In the paper, the scientists describe how they addressed "challenges" in the work [1].For a scientific group determined to synthesize smallpox de novo, the paper would be useful.Drew Endy, a synthetic biologist on WHO's Advisory Committee on Variola Virus Research (ACVVR), said about the publication, "There are things in this paper that I wouldn't know how to do and had never been done before" [2].Other virologists have commented that they did not think the paper was a major technical advance; even if this were the case, it seems quite ill-advised to publish the full prescriptive details of the synthesis in one manuscript.Even Evans and colleagues said in the conclusion of their paper, ". . .This is clearly an example of dual-use research, and observations like these pose significant challenges for public health authorities" [1].Why be concerned about making it easier to synthesize smallpox de novo?There are two primary reasons.First, there are intentional, extraordinary barriers in place to obtaining live samples of smallpox.There are only two official repositories of smallpox in the world (the United States Centers for Disease Control and Prevention [CDC] in Atlanta, Georgia, and the State Research Centre of Virology and Biotechnology [VECTOR] in Novosibirsk, Russia) [3], and to do research with smallpox in one of these facilities requires the permission of the

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)0.147
metaresearch head score (Gemma)0.155
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.960
Threshold uncertainty score0.777

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1470.155
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0070.057
Scholarly communication0.0180.021
Open science0.0070.007
Research integrity0.0400.043
Insufficient payload (model declined to judge)0.0040.001

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 head0.094
GPT teacher head0.328
Teacher spread0.234 · 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.

Study designTheoretical or conceptual
DomainEvaluation
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

Citations11
Published2018
Admission routes1
Has abstractyes

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