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Record W2930000399 · doi:10.31438/trf.hh2010.82

A LARGE-SCALE FLEXIBLE MOLDING TECHNOLOGY FOR PRODUCING BIOMIMETIC DRY ADHESIVES IN MULTIPLE MATERIALS USING A COMMERICAL ACRYLIC MASTER

2010· article· en· W2930000399 on OpenAlexafffund
Dan Sameoto, Carlo Menon

Bibliographic record

Venue2010 Solid-State, Actuators, and Microsystems Workshop Technical Digest · 2010
Typearticle
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsSimon Fraser UniversityUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaSimon Fraser University
KeywordsAdhesiveMaterials scienceMolding (decorative)MoldComposite materialAcrylic polymerFabricationAcrylic resinPolymervan der Waals forceCoatingChemistry

Abstract

fetched live from OpenAlex

We present a novel fabrication method that uses 254 nm light from germicidal lamps to convert commercial acrylic substrates into master molds for biomimetic dry adhesives.These geckoinspired adhesives use appropriately shaped fibers to make intimate contact with surfaces and adhere using van der Waals interactions.While previous molding technologies for synthetic dry adhesives were limited by the size of the substrates used, our technology makes use of bulk acrylic, and is technically possible to scale up to dozens of square feet per master mold.Nearly any castable polymer may be converted to a dry adhesive using this technology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2010
Admission routes2
Has abstractyes

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Same venue2010 Solid-State, Actuators, and Microsystems Workshop Technical DigestSame topicAdhesion, Friction, and Surface InteractionsFrench-language works237,207