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Record W2152401294 · doi:10.1109/tnano.2011.2180735

PolyMethyl Methacrylate Thin-Film-Based Field Emission Microscope

2011· article· en· W2152401294 on OpenAlex
Yonghai Sun, David A. Jaffray, Liang‐Yih Chen, John T. W. Yeow

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

VenueIEEE Transactions on Nanotechnology · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Waterloo
Fundersnot available
KeywordsPolymethyl methacrylateMaterials scienceFacet (psychology)Finite element methodMicroscopeField electron emissionField emission microscopyScanning electron microscopeElectron microscopeOptoelectronicsOpticsComposite materialElectronDiffractionPolymerEngineering

Abstract

fetched live from OpenAlex

A field emission microscope (FEM) is a useful tool for investigating molecular surface structures. Conventional FEMs suffer from poor image contrast level and low sensitivities when low-energy electron beams are applied. In this article, a new anode material is employed to improve the FEM imaging performance. We demonstrate that the device has the capability of clearly capturing images of facet boundaries of crystal structures at the tip of a zinc oxide (ZnO) nanowire as defect sites on a Polymethyl methacrylate (PMMA) film that is exposed to electron beams. The clear image of facet boundaries has not been reported in conventional FEM images.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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