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Record W2581560037 · doi:10.1002/cctc.201700014

Back Cover: Butanal Condensation Chemistry Catalyzed by Brønsted Acid Sites on Polyoxometalate Clusters (ChemCatChem 2/2017)

2017· paratext· en· W2581560037 on OpenAlexaff
Yifei Yang, Fan Lin, Honghi Tran, Ya-Huei Cathy Chin

Bibliographic record

VenueChemCatChem · 2017
Typeparatext
Languageen
FieldMaterials Science
TopicPolyoxometalates: Synthesis and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolyoxometalateChemistryCatalysisHeteroatomProtonationAldol condensationBrønsted–Lowry acid–base theoryIminePhotochemistryMedicinal chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The Cover shows butanal condensation reaction on polyoxometalate clusters (H4SiW12O40), grafted on mesoporous silica, as a catalytic route for upgrading the aldehydes derived from biomass feedstocks. The reaction creates an intermolecular C=C bond, ejects oxygen heteroatoms and produces larger, unsaturated aldehydes (e.g., 2-ethyl-2-hexenal).In their Full Paper, Y. Yang et al. describe the catalytic fate of butanal during its deoxygenation sojourns on polyoxometalate clusters. The Brønsted acid sites (H+) of polyoxometalate clusters protonate the butanals and then catalyze predominantly the C=C bond formation through an aldol condensation mechanism. Thus, the rate of C=C bond formation is directly proportional to the H+ site density. A portion of the protonated butanals reacts with framework oxygen atoms, forming surface acetates as spectators that poison the H+ sites. This work establishes the connection among the active site function, identity of adsorbed species and rates. More information can be found in the Full Paper by Y. Yang et al. on page 287 in Issue 2, 2017 (DOI: 10.1002/cctc.201601042).

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0430.097

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 head0.271
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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