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Record W2097607566 · doi:10.1039/b719846a

Nucleic acid microarrays created in the double-spiral format on a circular microfluidic disk

2008· article· en· W2097607566 on OpenAlexaff
Hong Chen, Lin Wang, Paul C. H. Li

Bibliographic record

VenueLab on a Chip · 2008
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSpiral (railway)DNA microarrayMicrofluidicsOligonucleotideMicroarrayNucleic acidRolling circle replicationNanotechnologyMaterials scienceBiologyDNAEngineeringGeneticsGeneMechanical engineering

Abstract

fetched live from OpenAlex

A microfluidic microarray that is created in the double spiral format has produced a greater density of probes than in our previous report. Using this double-spiral format together with centrifugal pumping for liquid delivery, 384 x 384 hybridization assays have been performed on one circular disk at one time, at the intersections between the spiral channels and spiral probe lines. Each sample was introduced into each inlet reservoir leading to 4 spiral channels and was analyzed independently, and so the hybridization results were self-corrected among the 4 spiral channels. In this work, fast microarray hybridizations have been successfully achieved by using both complementary oligonucleotides as well as PCR products prepared from plant fungal pathogen cultures.

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 score0.162
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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

Citations45
Published2008
Admission routes1
Has abstractyes

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