MétaCan
Menu
Back to cohort
Record W2088293613 · doi:10.1080/21642311.2013.771840

Experimental evaluation of the penetration of TiO<sub>2</sub>nanoparticles through protective clothing and gloves under conditions simulating occupational use

2013· article· en· W2088293613 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNanoscience Methods · 2013
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsCTT Group (Canada)Université de MontréalÉcole de Technologie Supérieure
Fundersnot available
KeywordsMaterials sciencePolyolefinNatural rubberComposite materialTitanium dioxideNanoparticlePolyesterClothingPenetration (warfare)ColloidPolyurethaneNanotechnologyChemical engineeringEngineering

Abstract

fetched live from OpenAlex

Titanium dioxide nanoparticles (nTiO2) are found in numerous manufactured products. While a few studies have been carried out to measure the efficiency of chemical protective clothing and gloves against nanoparticles (NPs), they have generally not considered the conditions prevailing in occupational settings. This study was designed to evaluate the resistance of protective clothing against NPs under conditions simulating occupational use. Nitrile and butyl rubber gloves, as well as cotton/polyester woven and polyolefin non-woven clothing samples were placed into contact with nTiO2 in the form of powders or colloidal solutions. Simultaneously, mechanical deformations were applied to the samples. Preliminary results showed that nTiO2 may penetrate some of the materials after prolonged dynamic deformations and/or when the NPs are in colloidal solutions. The effect was partly attributed to modifications in the physical and mechanical properties of protective materials that were induced by repetitive mechanical deformations.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.163
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.140
GPT teacher head0.428
Teacher spread0.288 · 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