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Record W1995138382 · doi:10.1117/12.778515

Multilayer biochips with integrated optics replicated in PMMA and PDMS

2007· article· en· W1995138382 on OpenAlexaff
Hooman Hosseinkhannazer, Larry W. Kostiuk, J.N. McMullin

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials sciencePolydimethylsiloxaneFluidicsSiliconLayer (electronics)OptoelectronicsMicrofluidicsOptofluidicsGroove (engineering)OpticsPolymerBiochipReplication (statistics)Reflection (computer programming)Polyvinyl alcoholNanotechnologyComposite materialComputer science

Abstract

fetched live from OpenAlex

This paper describes the development of multi-level lab-on-a-chip devices that use integrated optics to reduce the size and cost of portable dual-function analysis systems. Silicon/polymer and all-polymer devices were fabricated that have separate optics and fluidics layers that are bonded together. The optical layer has hollow v-groove waveguides in anisotropically etched silicon or in polymethylmethacrylate (PMMA) that is replicated from the silicon in a two-step replication procedure using polyvinyl alcohol (PVA) as an intermediate negative replica. Light from hollow v-groove waveguides in the optical layer is coupled to the fluidic layer by reflection from metallized reflective planes. The fluidic layer is constructed of polydimethylsiloxane (PDMS) in a two-step positive replication procedure from a micromachined glass master. A thin intermediate PMMA layer with reflective metal strips seals both the hollow optical waveguides and the PDMS microchannels.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicMicrofluidic and Capillary Electrophoresis ApplicationsFrench-language works237,207