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Record W2036222682 · doi:10.5539/ijc.v2n2p28

The Effect of Both UV\Ozone and Chitosan on Natural Fabrics

2010· article· en· W2036222682 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Chemistry · 2010
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryChitosanWoolDyeingFourier transform infrared spectroscopyOzoneSILKAttenuated total reflectionReactive dyePulp (tooth)Nuclear chemistryChemical engineeringPulp and paper industryPolymer chemistryInfrared spectroscopyComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

This work has focused on developing eco-friendly treatments for modifying the fabric surface. Thus; we studied in details the effect of individual and combined uv\ozone and chitosan on wool and silk fabric samples. All the treated samples are characterized and evaluated by: i) Fourier transform infrared spectra with attenuated total reflection analysis (FTIR-ATR), ii) Performance properties, iii) Mechanical measurements, and iv) Dyeing characteristics using two different dye classes namely, reactive dye (C.I. Reactive Orange 69) and direct dye (C.I Direct Yellow 11) applied on both wool and silk samples modified with the above mentioned three techniques.

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.

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 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 score0.002
Threshold uncertainty score0.168

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 integrity0.0000.000
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 head0.003
GPT teacher head0.253
Teacher spread0.249 · 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