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Record W2003399985 · doi:10.1002/celc.201402273

In Situ Fluorescence Microscopy Study of the Interfacial Inhomogeneity of DNA Mixed Self‐Assembled Monolayers at Gold Electrodes

2015· article· en· W2003399985 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.

Bibliographic record

VenueChemElectroChem · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMonolayerMicroscopyFluorescence microscopeDesorptionFluorescenceElectrodeIn situMaterials scienceScanning electrochemical microscopyAnalytical Chemistry (journal)Substrate (aquarium)Self-assembled monolayerCrystallinityElectrochemistryChemistryNanotechnologyCrystallographyAdsorptionOpticsChromatographyOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Mixed self‐assembled monolayers composed of a fluorescently labeled DNA and a mercaptobutanol diluent immobilized on gold electrodes were characterized by electrochemical measurements coupled with in situ fluorescence microscopy. The reductive desorption of the self‐assembled monolayers was monitored in real time through variations in the capacitance and fluorescence intensity. Desorption occurred in several steps, which was related to substrate crystallinity. Fluorescence microscopy revealed the presence of spatial heterogeneities in the form of highly fluorescent aggregates that remained at the electrode surface even after a reductive desorption step. This in situ electrofluorescence microscopy technique is useful to optimize the formation of the mixed layer to obtain a homogeneous distribution of the probes, which thus improves the efficiency of the recognition process in the development of biosensors.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.671

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 head0.011
GPT teacher head0.275
Teacher spread0.263 · 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