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Record W2076173924 · doi:10.2116/bunsekikagaku.51.41

Laser pyrolysis gas chromatography system using a Q-switched Nd : YAP laser.

2002· article· en· W2076173924 on OpenAlexaff
Mikio KUZUYA, Kazushi HIROSE, Takuya MATSUOKA

Bibliographic record

VenueBUNSEKI KAGAKU · 2002
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsPolystyrenePyrolysisGas chromatographyLaserMaterials scienceAnalytical Chemistry (journal)BenzeneStyreneReproducibilityTolueneChromatographyFull width at half maximumChemistryOpticsPolymerOptoelectronics

Abstract

fetched live from OpenAlex

A pyrolysis gas chromatograph system using a pulsed Nd:YAP laser as a fragmentation source was constructed, which allowed for the direct analysis of solid samples. Several solid samples, such as ceramics (BN), coal, and polystyrene, were analyzed to test the performance of the system. The obtained chromatograms showed good reproducibility, and the relative standard deviations of the peak intensity, the FWHM, and the retention time were 1.4%, 2.2%, and 0.5%, respectively. In chromatograms obtained from polystyrene, the characteristic component peaks of benzene, toluene, and styrene monomer were detected. Moreover, a moderate defocusing of laser radiation brought about an increase in the signal intensity. The results showed that the present laser pyrolysis gas chromatograph is applicable to the analysis of solid samples.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.222
Teacher spread0.206 · 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.

Study designBench or experimental
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

Citations2
Published2002
Admission routes1
Has abstractyes

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