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Record W2365206417

The Development of Volatile Organic Compounds(VOCs) in Nitrogen Gas Standard Material

2007· article· en· W2365206417 on OpenAlexaff
Yang Sui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality Monitoring and Forecasting
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsEthylbenzeneBenzeneTolueneGas chromatographyXyleneStyreneNational standardEnvironmental chemistryChemistryNitrogenOrganic chemistryChromatographyPolymer
DOInot available

Abstract

fetched live from OpenAlex

The article described the development of volatile organic compounds(VOCs) gas standard material used for indoor air quality evaluation.Namely,benzene,toluene,ethylbenzene,p-xylene,m-xylene,o-xylene,styrene,ethyl acetate,butyl acetate and undecan in nitrogen gas standard material,prepared by weighing method,then analyzed by gas chromatography to confirm the uniformity and stability.Measured by the National Institute of Metrology of China(NIM China),the data of the samples conforms with similar standard gases from other country.It has been approved by the state in file GBW(E) 060756 that the gas material can be used as second level standard material.The standard value can be as low as 0.5 ×10-6 mol/mol.The relative uncertainty is 6%(k= 2).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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 teacher head, 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

Citations0
Published2007
Admission routes1
Has abstractyes

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