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Record W2995892180 · doi:10.1021/cen-09748-polcon1

New chemicals added to weapons treaty

2019· article· en· W2995892180 on OpenAlexaboutno aff
Laura Howes

Bibliographic record

VenueC&EN Global Enterprise · 2019
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyInternational tradeNuclear weaponArms controlChemical warfareBusinessPolitical scienceLaw and economicsLawEconomics

Abstract

fetched live from OpenAlex

For the first time since the Chemical Weapons Convention (CWC) came into force in 1997, new compounds will be added to the convention’s list of toxic chemicals. At The Hague on Nov. 27, delegates to the Organisation for the Prohibition of Chemical Weapons (OPCW) accepted two proposals to add new chemicals to the convention by consensus. The moment was greeted by spontaneous applause. Canada, the Netherlands, and the US submitted the first proposal in January 2019. It incorporates two large families of Novichok organophosphorus nerve agents, including the chemical A-230. Russia moved to expand the list to add an additional Novichok agent and a family of carbamates that are chemically unrelated but have a similar biochemical basis for their toxicity. The OPCW Technical Secretariat will prepare a merged text of the proposals and send it to all members of the CWC, says OPCW director general Fernando Arias. The changes will

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.003
GPT teacher head0.255
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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