MétaCan
Menu
Back to cohort
Record W1966608266 · doi:10.1116/1.2180270

Organic monolayers detected by single reflection attenuated total reflection infrared spectroscopy

2006· article· en· W1966608266 on OpenAlexaff
N. L. Rowell, Li‐Lin Tay, D. J. Lockwood, J.‐M. Baribeau, J. A. Bardwell, Rabah Boukherroub

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2006
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsAttenuated total reflectionMonolayerReflection (computer programming)Materials scienceInfraredTotal internal reflectionAnalytical Chemistry (journal)Bovine serum albuminSpectroscopyInfrared spectroscopyReflectivityOpticsAdsorptionChemistryOptoelectronicsChromatographyNanotechnologyOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

A single-reflection attenuated total reflection (ATR) technique has been used to study low index monolayers with a high index ATR hemisphere in an optical contact with the sample surface. A model calculation predicts a field enhancement with the present method substantially larger than that of conventional ATR. For the present method, a discontinuity of the field normal to the film is responsible for the field enhancement in the lower index thin film. We show theoretically and experimentally that the angle of incidence has a strong influence on the ATR signal strength. We demonstrate the present method by examining the infrared reflectance spectra of a undecylenic acid self-assembled on Si (111) and with the adsorption of a bovine serum albumin monolayer. We also apply the method to examine the oxidation and surface contamination of the functionalized Si samples stored in ambient conditions.

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 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)0.000
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 score0.007
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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 teacher head, 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

Citations7
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Vacuum Science & Technology A Vacuum Surfaces and FilmsSame topicSilicon Nanostructures and PhotoluminescenceFrench-language works237,207