MétaCan
Menu
Back to cohort
Record W237278869 · doi:10.21236/ada474050

Review of World War 2 Methods of Manufacture and Storage for UK Sulphur Mustard (HT) Currently Held at Pine Bluff Arsenal, Arkansas, USA

2007· report· en· W237278869 on OpenAlexaboutno aff
Richard Soitleux

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsBluffArchaeologyEnvironmental scienceEngineeringHistoryEconomics

Abstract

fetched live from OpenAlex

The United States is in the process of destroying stockpiles of the chemical warfare agent HT, a mixture of sulphur mustard (H) and an oxygenated homologue (T) at its Pine Bluff Chemical Disposal Facility (PBCDF), Arkansas. The agent is currently stored in "one-ton" containers. It is important to fully understand the provenance and chemical composition of the agent being destroyed so that all risks can be fully appreciated and the safest, mist efficient and environmentally acceptable disposal process can be used, The HT is thought to have come from a combination of three sources. 1. The Cornwall facility in Ontario, Canada. 2. Shipped from the UK in 1946 in Mark 6 drums. 3. Shipped from the UK in 1946 in 10 gallon British land mines.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0130.008

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 head0.051
GPT teacher head0.360
Teacher spread0.310 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicNuclear and radioactivity studiesFrench-language works237,207