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Record W3007740841 · doi:10.1117/12.2545106

Fabrication of multichannel Bloch long-range surface plasmon biosensors

2020· article· en· W3007740841 on OpenAlexaff
Maryam Khodami, Zohreh Hirbodvash, Oleksiy Krupin, Ewa Lisicka-Skrzek, Anthony Olivieri, Howard Northfield, Pierre Berini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMaterials sciencePhotolithographyWaferFabricationOptoelectronicsLithographyFluidicsBiosensorCladding (metalworking)GratingWafer bondingSurface plasmonPhotonic crystalWaveguidePlanarNanotechnologyPlasmonElectrical engineering

Abstract

fetched live from OpenAlex

The fabrication of a novel optical biosensor based on Bloch long-range surface plasmons on waveguide arrays is presented in this work. The structures are fabricated on a truncated 1D photonic crystal comprised of a 12 period stack of alternating layers of SiO2/Ta2O5. The Au waveguides, are fabricated using a bi-layer lift-off photolithography process including LOR 1A and SPR 955. Grating couplers, as the input/output means, are fabricated using overlaid electronbeam lithography involving a bilayer PMMA process. The planar waveguides are integrated into arrays capable of multichannel multimodal biosensing. The wafer is covered with CYTOP as the upper cladding with etched microfluidic channels, and wafer-bonded to a borofloat silica wafer to encapsulate the fluidic channels and enable side fluidic interfaces.

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 score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.238
Teacher spread0.210 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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