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Record W2959450195 · doi:10.1002/smtd.201970018

Solid State Nanopores: Nanopore Formation via Tip‐Controlled Local Breakdown Using an Atomic Force Microscope (Small Methods 7/2019)

2019· article· en· W2959450195 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

VenueSmall Methods · 2019
Typearticle
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsNanoporeNanoscopic scaleNanotechnologyMaterials scienceMembraneNanometreAtomic force microscopyChemistryComposite material

Abstract

fetched live from OpenAlex

Developing a scalable method for creating highly localized single nanopore and nanopore arrays in ultra-thin membranes has long been the Achilles' Heel of the vastly growing field of nanopore bio-sensing. In article number 1900147, Yuning Zhang, Yoichi Miyahara, Peter Grutter, Walter Reisner and co-workers report a new method for creating nanoscale pores and nanopore arrays in thin SiNx membranes. Tip-controlled local breakdown (TCLB) uses a conductive tip in an atomic force microscope to create pores at precise positions on a membrane by inducing highly localized dielectric breakdown. TCLB is able to fabricate sub 5 nm diameter nanopores within tens of milliseconds, with high scalability, and with nanometer positioning precision. The cover depicts the process of a single nanopore forming at the tip, with pore arrays already fabricated in the background.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.256
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.027
GPT teacher head0.337
Teacher spread0.310 · 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