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Record W2299428551 · doi:10.1149/ma2014-01/5/401

Society Award Lecture - Vittorio de Nora Award Address: On-Wire Lithography: An Electrochemical Approach to Controlling Nanoscale Architecture

2014· article· en· W2299428551 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

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsNational Institute for Nanotechnology
Fundersnot available
KeywordsNanorodNanoscopic scaleNanotechnologyMaterials scienceLithographyNanowirePEDOT:PSSPlasmonFabricationElectrochemistryOptoelectronicsLayer (electronics)ElectrodeChemistry

Abstract

fetched live from OpenAlex

On-wire lithography (OWL) is a template-based, electrochemical process for forming one-dimensional solution dispersible arrays of nanorods with programmably synthesized nano- and micro-scale gaps. OWL provides excellent control over the nanowire diameter (from 30 to 360 nm depending on the membrane pore size), segment length (from 6 nm to a few microns), gap size (from 1 nm to a few microns), composition (e.g., Au, Ni, Ag, Pt, Pd, PEDOT, PTh, P3HT, PPY, PPV) of the different nanowire components. The versatility of this novel technique has allowed for the fabrication of a wide variety of structures with emergent and highly functional properties that are advancing studies of SERS, plasmonics, and plexcitonics and forming the basis for novel molecular electronic, optoelectronic, encoding, and chemical and biological detection devices.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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