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Record W2063927865 · doi:10.1021/ic802233e

Structural Study of Acidic Metallocavitands and Characterization of their Interactions with Lewis Bases

2009· article· en· W2063927865 on OpenAlexaff
C.N. Garon, Serge I. Gorelsky, O. Sigouin, Tom K. Woo, Frédéric‐Georges Fontaine

Bibliographic record

VenueInorganic Chemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversité LavalUniversity of Ottawa
Fundersnot available
KeywordsChemistryAdductSteric effectsThermogravimetric analysisLewis acids and basesHydrogen bondTantalumTetrahydrofuranCrystallographyDensity functional theoryStereochemistryMoleculeComputational chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

We report the synthesis and characterization of tantalum-boronate trimetallic clusters of the general formula {[Cp*Ta](3)(mu(2)-RB(O)(2))(3)(mu(2)-OH)(mu(2)-O)(2)(mu(3)-OH)} (R = i-Bu (Ta(3)-iBu), C(6)H(5) (Ta(3)-Ph), 2,5-(CH(3))(2)(C(6)H(3)) (Ta(3)-2,5Me), 3,5-(CH(3))(2)(C(6)H(3)) (Ta(3)-3,5Me), and 3,5-(CF(3))(2)(C(6)H(3)) (Ta(3)-3,5CF(3))). Three of these complexes feature a Lewis acid type cavity allowing for substrate binding in both the solid and the liquid state using a unique electrostatic interaction and a hydrogen bond. We also report the synthesis of {[Cp*Ta](2)(mu(2)-MesB(O)(2))(2)[MesB(OH)(O)](2)(mu(2)-OH)(2)} (Mes = 2,4,6-(CH(3))(3)C(6)H(2) (Ta(2)-Mes)). All complexes have been characterized by NMR and X-ray diffraction studies, and the steric and electronic effects on the boronate ligands have been investigated. The physical properties of the interaction between the tantalum-boronate clusters and tetrahydrofuran and acetone have been studied by thermogravimetric analysis, FT-IR, and Density Functional Theory calculations to characterize the molecular interactions in the resulting adducts.

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 score0.012
Threshold uncertainty score0.995

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)0.0060.000

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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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