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Record W2037715840 · doi:10.1002/ijch.201400121

<i>t</i>Bu<sub>3</sub>P/ZnR<sub>2</sub> (R=Et, I) Frustrated Lewis Pair Catalysts for Functionalization and Reduction of CO<sub>2</sub>

2014· article· en· W2037715840 on OpenAlex
Roman Dobrovetsky, Douglas W. Stephan

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIsrael Journal of Chemistry · 2014
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryFrustrated Lewis pairSurface modificationSilanesCatalysisPhosphineLewis acids and basesCarboxylationAlkylHydrideHydrosilylationOrganic chemistryMedicinal chemistrySilanePhysical chemistryMetal

Abstract

fetched live from OpenAlex

Abstract The functionalization and reduction of CO 2 are important targets not only because of concerns about its accumulation or the impact of this greenhouse gas on Earth’s climate, but also because of its potential as a C‐1 feedstock. In this work, both functionalization and reduction of CO 2 were performed using tBu 3 P/ZnR 2 (R=Et, I) “frustrated Lewis pairs” (FLPs). Phosphine‐catalyzed carboxylation of alkyl‐Zn bonds and catalytic reduction of CO 2 using silanes as hydride sources and tBu 3 P/ ZnR 2 (R=Et, I) FLPs as catalysts are reported. This is also the first time Zn‐based FLP chemistry in functionalization of CO 2 is reported.

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)0.001
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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