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Record W2749004113 · doi:10.1089/hs.2017.0061

The <i>De Novo</i> Synthesis of Horsepox Virus: Implications for Biosecurity and Recommendations for Preventing the Reemergence of Smallpox

2017· article· en· W2749004113 on OpenAlexaboutno aff
Gregory D. Koblentz

Bibliographic record

VenueHealth Security · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsnot available
FundersNational Academy of Medicine
KeywordsSmallpoxSmallpox virusVariola virusOrthopoxvirusBiodefenseVirologyMonkeypoxBiosecurityPublic healthVacciniaMedicineBiologyVaccinationMicrobiology

Abstract

fetched live from OpenAlex

In March 2017, the American biotech company Tonix announced that a Canadian scientist had synthesized horsepox virus as part of a project to develop a safer vaccine against smallpox. The first de novo synthesis of an orthopoxvirus, a closely related group of viruses that includes horsepox and the variola virus that causes smallpox, crosses an important Rubicon in the field of biosecurity. The synthesis of horsepox virus takes the world one step closer to the reemergence of smallpox as a threat to global health security. That threat has been held at bay for the past 40 years by the extreme difficulty of obtaining variola virus and the availability of effective medical countermeasures. The techniques demonstrated by the synthesis of horsepox have the potential to erase both of these barriers. The primary risk posed by this research is that it will open the door to the routine and widespread synthesis of other orthopoxviruses, such as vaccinia, for use in research, public health, and medicine. The normalization and globalization of orthopoxvirus synthesis for these beneficial applications will create a cadre of laboratories and scientists that will also have the capability and expertise to create infectious variola virus from synthetic DNA. Unless the safeguards against the synthesis of variola virus are strengthened, the capability to reintroduce smallpox into the human population will be globally distributed and either loosely or completely unregulated, providing the foundation for a disgruntled or radicalized scientist, sophisticated terrorist group, unscrupulous company, or rogue state to recreate one of humanity's most feared microbial enemies. The reemergence of smallpox-because of a laboratory accident or an intentional release-would be a global health disaster. International organizations, national governments, the DNA synthesis industry, and the synthetic biology community all have a role to play in devising new approaches to preventing the reemergence of smallpox.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.004

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 head0.052
GPT teacher head0.381
Teacher spread0.329 · 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 designTheoretical or conceptual
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

Citations77
Published2017
Admission routes1
Has abstractyes

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