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Record W1917914939 · doi:10.1002/elps.201200188

Millimeter scale separation of <scp>DNA</scp> with a replaceable polymer matrix

2012· article· en· W1917914939 on OpenAlexaff
Dammika P. Manage, D.G. Elliott, C. Backhouse

Bibliographic record

VenueElectrophoresis · 2012
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of WaterlooUniversity of Alberta
Fundersnot available
KeywordsMicrofluidicsMicroelectronicsElectrophoresisNanotechnologyMatrix (chemical analysis)Computer scienceMillimeterMaterials scienceChromatographyChemistryPhysicsOptics

Abstract

fetched live from OpenAlex

Electrophoresis is a powerful method that has seen a wide range of applications, often in automated genetic diagnostic instruments that require the use of a replaceable sieving matrix. The power and simplicity of electrophoresis as an analysis technique would be ideal for highly integrated and low-cost analysis systems if the method could be implemented in microfluidics on the scale of several mm. We demonstrate the electrophoretic analysis of DNA with separation lengths as small as 2 mm and with a resolution adequate for the analysis of PCR products, i.e. resolutions of 10-20 base pairs. Such small-scale separations enable analysis systems consisting of microfluidics and microelectronics integrated into a single inexpensive package, thereby overcoming a key challenge facing the development of the lab on chip 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 score0.085
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.210
Teacher spread0.206 · 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
Published2012
Admission routes1
Has abstractyes

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