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Record W2055484141 · doi:10.1088/0960-1317/18/4/045009

Readily integrated, electrically controlled microvalves

2008· article· en· W2055484141 on OpenAlexafffund
Wooseok Song, Jonathan K. Kwan, Govind V. Kaigala, C. Backhouse

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2008
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsEngineeringMaterials scienceElectrical engineering

Abstract

fetched live from OpenAlex

We present a simple method for fabricating and operating normally open, electrothermally actuated microvalves. These valves are fabricated by placing a gas-permeable elastomeric membrane between two etched glass plates. The reservoirs and channels on one layer are filled with a low melting point polymer (polyethylene glycol, PEG) that exhibits a large volumetric change (of up to 30%) upon phase transition (melting). This volume expansion is used to actuate the membrane and seal the microfluidic channels located in the second etched glass plate. The PEG in the reservoir is heated with integrated patterned platinum-resistive elements. The valve reliably seals the microfluidic channel against external fluid pressures of 10 psi. This valve can be readily integrated with one of the standard technologies for lab-on-a-chip (LOC) fabrication and is suitable for use with the polymerase chain reaction. The novelty of this microvalve lies in the ability to fill dead-end microchannels with a polymer, its self-sealing ability, the ability to remotely actuate the valve by transferring pressure via a microchannel and the compatibility of this microvalve with standard LOC technologies.

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 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 score0.139
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.005
GPT teacher head0.165
Teacher spread0.161 · 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 teacher head, 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

Citations9
Published2008
Admission routes2
Has abstractyes

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