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Record W2435808242 · doi:10.1021/acs.langmuir.5b02730

Micropatterns of [Fe-Fe]-Hydrogenase Active-Site Model Complexes Fabricated by Electro-Oxidative Lithography

2015· article· en· W2435808242 on OpenAlexaff
He Liu, Ralf Trautwein, Bernd Schröter, Anna Ignaszak, Wolfgang Weigand, Stephanie Hoeppener, Ulrich S. Schubert

Bibliographic record

VenueLangmuir · 2015
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of New Brunswick
FundersChina Scholarship CouncilBundesministerium für Bildung und Forschung
KeywordsActive siteHydrogenaseCatalysisLithographyMicroscale chemistryMoleculeMaterials scienceMonolayerNanotechnologyCyclic voltammetrySubstrate (aquarium)ChemistryCombinatorial chemistryInorganic chemistryChemical engineeringElectrochemistryOrganic chemistryPhysical chemistryOptoelectronicsElectrode

Abstract

fetched live from OpenAlex

[Fe-Fe]-hydrogenase active site model complexes ([Fe(CO)3]2[(μ-SCH2)2C(CH2OH)2]) were immobilized on micropatterned n-octadecyltrichlorosilane (OTS) monolayers deposited on a Si substrate to form a microscale catalytic system. The micropatterns were generated by electro-oxidative lithography performed with a conductive TEM grid. The [Fe-Fe]-hydrogenase active-site complex molecules were selectively anchored in lithographic line areas with good coverage. Additionally, the biomimetic metal centers of the hydrogenase active-site complex molecules still maintained their catalytic activity and their redox-active properties after the immobilization process, which was proven by cyclic voltammetry.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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