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Record W2152226570 · doi:10.1177/0040517509346439

Quantity and Distribution of Oily Contaminants Present in Flame-resistant Thermal-protective Textiles

2009· article· en· W2152226570 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

VenueTextile Research Journal · 2009
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHuman decontaminationLaundryContaminationPulp and paper industryMaterials scienceWaste managementEnvironmental science

Abstract

fetched live from OpenAlex

This paper reports an experimental study wherein the quantity and distribution of oily contaminants present in flame-resistant fabrics (FR) after contamination and decontamination was determined using radiotracer analysis and scanning electron microscopy. The experimental variables were fabric type, laundry treatment, and number of contamination/decontamination cycles. Laundry treatments involving a pre-wash product were the most effective in removing oil from all FR fabrics regardless of the number of contamination/ decontamination cycles. Accumulation of oily contaminants was noted after five contamination/ decontamination cycles regardless of the fabric type or laundry treatment. FR cotton/nylon retained the most residual oil for all laundry treatments. No oil remained in the interior of the aramid, viscose, and nylon fibers, but rather remained on the surface so that it was removed easily during decontamination. A significant quantity of oil was located in the interior of the cotton fibers, making it difficult to remove during decontamination.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.387
Teacher spread0.311 · 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