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Record W3022581935 · doi:10.1002/cctc.202000111

Protection of Ruthenium Olefin Metathesis Catalysts by Encapsulation in a Self‐assembled Resorcinarene Capsule

2020· article· en· W3022581935 on OpenAlexafffund
Lukas J. Jongkind, Maryam Rahimi, David A. Poole, Stephanie J. Ton, Deryn E. Fogg, Joost N. H. Reek

Bibliographic record

VenueChemCatChem · 2020
Typearticle
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsCanadian Network for Innovation in EducationUniversity of Ottawa
FundersEuropean Research CouncilNatural Sciences and Engineering Research Council of Canada
KeywordsRutheniumCatalysisCationic polymerizationMetathesisOlefin metathesisRing-opening metathesis polymerisationResorcinareneSalt metathesis reactionChemistryPolymer chemistryOrganic chemistryMaterials sciencePolymerizationMoleculePolymer

Abstract

fetched live from OpenAlex

Abstract Catalyst encapsulation is examined as a means of increasing the productivity of olefin metathesis catalysts. Commercially available, cationic ruthenium metathesis catalysts were incorporated into a supramolecular resorcin[4]arene capsule. Encapsulation increased catalyst stability in water‐saturated toluene, delivering higher metathesis yields than the parent, non‐encapsulated Hoveyda catalyst in the same reaction medium.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.238
Teacher spread0.213 · 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

Citations27
Published2020
Admission routes2
Has abstractyes

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