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Record W6903150619 · doi:10.1021/ja306596m.s001

Mechanism of Ion Transport\nby Fluorescent Oligoester\nChannels

2016· article· en· W6903150619 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFluorescenceIonDiphenylacetyleneMembraneVesicleBilayer

Abstract

fetched live from OpenAlex

The synthesis and membrane activity of a suite of linear\noligoesters\ncontaining a common diphenylacetylene unit core and differing in the\nhydroxyl terminus are reported. Active compounds formed high-conductance\nchannels efficiently in both vesicle and planar bilayers, with one\ncompound showing a very unusual slow loss of transport activity over\na 20–30 min period. Steady-state and time-resolved fluorescence\nstudies establish the rapid partition of active compounds to the bilayer\nand identify at least three types of membrane-associated species by\ntheir differing fluorescence lifetimes. The change in the distribution\nof species is correlated with the slow loss of activity. The results\nare interpreted in terms of an aggregate within a single bilayer leaflet\nthat is nonetheless competent to transport ionic species through the\nbilayer. The properties of such structures, revealed by these compounds,\nappear to be consistent with commonly observed behaviors of other\nsynthetic ion channels.

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 categoriesInsufficient payload (model declined to judge)
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 score0.498
Threshold uncertainty score0.786

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)0.2140.000

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 head0.018
GPT teacher head0.212
Teacher spread0.193 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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