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Record W2172112824 · doi:10.5539/ijc.v1n1p57

Performance Research of Polyester Fabric Treated by Nano Titanium Dioxide (N ano-TiO2) Anti-ultraviolet Finishing

2009· article· en· W2172112824 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 · 2009
Typearticle
Languageen
FieldEngineering
TopicDyeing and Modifying Textile Fibers
Canadian institutionsnot available
FundersNatural Science Foundation of Tianjin City
KeywordsTitanium dioxideChemistryUltravioletNano-DispersityTitanatePolyesterSolventChemical engineeringTitaniumUltraviolet lightPolymer chemistryCeramicMaterials scienceOrganic chemistryPhotochemistry

Abstract

fetched live from OpenAlex

Nano-TiO2 sol and finishing agent was prepared by sol-gel method, during which tetrabutyl titanate was used as precursorand ethanol was used as solvent. The agent was penetrated into polyester fabric through a padding method, theanti-ultraviolet performance of the fabric was analyzed and the external morphology was carefully studied afterward. Theresults showed that indicated that the Nano-TiO2 particles distribute evenly with fine dispersity and stability and thefinished fabrics demonstrated exceptional anti-ultraviolet performance with a phenomenal UPF ascendance reaching upto 50+ without influencing the breaking strength.

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 score0.007
Threshold uncertainty score0.421

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 head0.018
GPT teacher head0.282
Teacher spread0.265 · 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