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Record W2165488311 · doi:10.1039/c2nj40366h

Organic surface modification using stable conducting materials

2012· article· en· W2165488311 on OpenAlexafffund
Christopher D. McTiernan, Sara A. Abbas, M’hamed Chahma

Bibliographic record

VenueNew Journal of Chemistry · 2012
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryMonomerSurface modificationPolymerCyclic voltammetryAmideStille reactionMoleculePlatinumAmino acidPolymer chemistryConductive polymerCombinatorial chemistryOrganic chemistryElectrodeElectrochemistryCatalysis

Abstract

fetched live from OpenAlex

Efficient immobilization methods of amino acids and organic molecules on conducting surfaces were achieved using stable conducting materials such as OBT-functionalized polyterthiophene that allows readily the incorporation of specific motifs on conducting and semi-conducting surfaces. The synthesis of the electropolymerizable monomer has been performed through the protection of the carboxylic acid, followed by a Stille cross coupling reaction, deprotection of the acid and esterification using HOBT (hydroxybenzotriazole) and EDC. The corresponding polymer of 5 (poly(5)–Pt) exhibits excellent stability on a platinum electrode as shown by cyclic voltammetry, which allows the introduction of several amino acids and organic molecules on the surface of the functionalized polymer. The modified surface (poly(6)–Pt) has been characterized by ATR-Infrared showing a carbonyl stretch corresponding to an amide of the amino acids.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.101
GPT teacher head0.317
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2012
Admission routes2
Has abstractyes

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