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Record W2377949103

Application of modern analytical testing techniques to dyeing and finishing industry(I)——Ultravolet-Visible absorption spectroscopy

2007· article· en· W2377949103 on OpenAlexaff
Ru Chen

Bibliographic record

VenueDyeing & Finishing · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsDyeingSpectrometerSpectroscopyUltravioletAbsorption (acoustics)TextileMaterials scienceUltraviolet visible spectroscopyAbsorption spectroscopyBeer–Lambert lawVisible spectrumOpticsAnalytical Chemistry (journal)Process engineeringOptoelectronicsChemistryEngineeringComposite materialEnvironmental chemistryPhysicsOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

This paper reviews the applicable wavelength range of ultraviolet-visible absorption spectroscopy,theoretical basis of testing method,as well as applicable conditions of Lambert-Beer Law.Structure and main parts of ultraviolet-visible spectrometer are analyzed,application of this technology to textile industry is detailed,such as determination of Sb_2O_3 content,Cr~(6+)in leather and textiles,formaldehyde content,and so on.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.025
GPT teacher head0.295
Teacher spread0.270 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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