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Record W2317691812 · doi:10.1021/cm101915y

Managing Micrometric Sources of Solvated Electrons: Application to the Local Functionalization of Fluorinated Self-Assembled Monolayers

2010· article· en· W2317691812 on OpenAlexfundno aff
Nadia Ktari, Sandra Nunige, Ammar Azioune, Matthieu Piel, Carole Connan, Frédéric Kanoufi, Catherine Combellas

Bibliographic record

VenueChemistry of Materials · 2010
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsnot available
FundersAgence Nationale de la RechercheUniversité du Québec à Montréal
KeywordsSurface modificationMonolayerSelf-assembled monolayerInertNanotechnologyMaterials scienceSolvated electronLithographyElectronSelf-assemblyMicroelectrodeChemical engineeringChemistryOrganic chemistryOptoelectronicsElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

Microelectrodes allow micrometric sources of a solvated electron solution to be easily handled at room temperature. Such strongly reducing sources are the key for a new wet-chemical lithographic procedure. It is used to decorate the highly chemically inert surfaces of fluorosilane self-assembled monolayers grafted onto various inorganic surfaces with fluorescent moieties, or living cells.

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)0.000
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 score0.018
Threshold uncertainty score0.323

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 integrity0.0000.000
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 head0.002
GPT teacher head0.181
Teacher spread0.179 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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