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Record W4386478117 · doi:10.1002/smll.202370284

The Effect of Linker‐to‐Metal Energy Transfer on the Photooxidation Performance of an Isostructural Series of Pyrene‐Based Rare‐Earth Metal–Organic Frameworks (Small 36/2023)

2023· article· en· W4386478117 on OpenAlexaff
Victor Quezada‐Novoa, Hatem M. Titi, Francisco Yarur Villanueva, Mark W. B. Wilson, Ashlee J. Howarth

Bibliographic record

VenueSmall · 2023
Typearticle
Languageen
FieldChemistry
TopicMetal-Organic Frameworks: Synthesis and Applications
Canadian institutionsUniversity of TorontoMcGill UniversityConcordia University
Fundersnot available
KeywordsIsostructuralSinglet oxygenPyrenePhotochemistryChemistryMetalMetal-organic frameworkSulfideExcited stateMetal ions in aqueous solutionLinkerBimetallic stripInorganic chemistryOxygenOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

Rare-Earth Metals Article number 2302173 by Ashlee J. Howarth and co-workers focuses on the design and synthesis of nine new isostructural rare-earth cluster-based metal-organic frameworks (MOFs). The rare-earth ions used are highlighted on the periodic table in the image. The MOF, named CU-10 (CU = Concordia University), is comprised of pyrene-based linkers that when excited with UV-light can be used to generate singlet oxygen. The image shows the pyrene-based linkers being excited with rays of UV-light. The singlet oxygen is used to selectively oxidize and detoxify a mustard gas simulant, 2-chloroethyl ethyl sulfide, and the reaction is performed in methanol. The work highlights how linker-to-metal energy transfer from the pyrene linker to different rare-earth metal ions effects the generation of singlet oxygen and subsequent oxidation reaction.

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)0.001
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 score0.011
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.216
Teacher spread0.204 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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