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Record W1968172305 · doi:10.1039/c3lc51313k

Hydrophobic sol–gel channel patterning strategies for paper-based microfluidics

2013· article· en· W1968172305 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLab on a Chip · 2013
Typearticle
Languageen
FieldEngineering
TopicBiosensors and Analytical Detection
Canadian institutionsMcMaster University
FundersCanada Research Chairs
KeywordsMicrofluidicsMaterials sciencePulmonary surfactantWaxNanotechnologyEtching (microfabrication)Chemical engineeringLayer (electronics)Composite material

Abstract

fetched live from OpenAlex

Hydrophobic sol-gel derived methylsilsesquioxane (MSQ) was compared to wax and alkylketene dimer (AKD) as barrier materials defining channels in paper-based microfluidic devices. While all three of the barrier types performed well with water, only the MSQ barriers were not breached by aggressive cell lysing solutions and surfactant solutions (SDS, CTAB, Triton X-100). The MSQ barriers also withstood glycerol, toluene and DMSO whereas all three barrier types were breached by alcohols. MSQ based devices could be prepared either by direct inkjet printing of the barriers or by base etching of MSQ impregnated paper. The functionality of MSQ based devices was demonstrated by formatting a colormetric sensor for Escherichia coli.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.493

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 head0.012
GPT teacher head0.204
Teacher spread0.192 · 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