MétaCan
Menu
Back to cohort
Record W2028489384 · doi:10.1039/b209827j

Imaging TOF-SIMS analysis of oligonucleotide microarrays

2002· article· en· W2028489384 on OpenAlexafffund
Larisa‐Emilia Cheran, Dajana Vukovich, Michael Thompson

Bibliographic record

VenueThe Analyst · 2002
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaHospital for Sick Children
KeywordsSecondary ion mass spectrometryOligonucleotideMass spectrometryChemistryFluorescence microscopeTime of flightSubstrate (aquarium)Analytical Chemistry (journal)IonFluorescenceConfocalConfocal microscopySiliconMicroscopyMass spectrumMaterials scienceDNAChromatographyOptics

Abstract

fetched live from OpenAlex

Single strand thiolated oligonucleotide (25-mer) was printed onto chemically modified glass and silicon surfaces. Confirmation of the level of attachment attained in each case was effected through detection by conventional confocal fluorescence microscopy. Both positive-ion and negative ion imaging time-of-flight mass spectra were recorded for the visualization of micro-patterned oligonucleotide arrays. This represents the first report of such detection by this form of mass spectrometry on glass. Ultimately, we are interested in the possibility that imaging time-of-flight secondary ion mass spectrometry can discern the orientation and conformation of DNA strands present on the surface of a substrate.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.196
Teacher spread0.188 · 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

Citations14
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueThe AnalystSame topicIon-surface interactions and analysisFrench-language works237,207