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Record W2531297735

Engineering of Light-Gated Artificial Ion Channels

2006· article· en· W2531297735 on OpenAlex
Laura Florentina Steller

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQucosa (Saxon State and University Library Dresden) · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsnot available
FundersÚstav analytické chemie, Akademie Věd České RepublikyNational Institutes of HealthNational Institute of Standards and TechnologyUniversität BremenUniversity of TorontoTechnische Universität Dresden
KeywordsChemistryComputer science
DOInot available

Abstract

fetched live from OpenAlex

The goal of this project is the development of artificial ion channels that can be actuated by light and thus controlled efficiently. Our artificial system is composed of two regions: the gate and the body part. The gate part is based on light-responsive azo groups while the body part is formed by calix[4]resorcinarene. Key of controlling mechanism is the conformational change between cis and trans isomers, which is translated into movement of the gate. Light-gated artificial ion channels are aimed at eliminating of the stochastic mechanism of artificial ion channels. Such a reversible photocontrol should be a powerful tool for using artificial ion channels as the basis for the development of new pharmaceuticals and drug delivery systems, as photoswitches, and in the field of microfluidics.

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 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 score0.411
Threshold uncertainty score0.632

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 communication0.0000.001
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 head0.009
GPT teacher head0.175
Teacher spread0.166 · 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