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Record W2326034913 · doi:10.1021/jz1012017

Solid-State <sup>47/49</sup>Ti NMR of Titanocene Chlorides

2010· article· en· W2326034913 on OpenAlexaff
Aaron J. Rossini, Ivan Hung, Robert W. Schurko

Bibliographic record

VenueThe Journal of Physical Chemistry Letters · 2010
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsChemistryNMR spectra databaseCyclopentadienyl complexElectric field gradientSpectral lineAnisotropyNuclear magnetic resonance spectroscopyChemical shiftSolid-state nuclear magnetic resonanceTensor (intrinsic definition)Nuclear magnetic resonanceCrystallographyPhysical chemistryAnalytical Chemistry (journal)Electric fieldStereochemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Magic angle spinning (MAS) and static 47/49 Ti solid-state NMR (SSNMR) spectra of the cyclopentadienyl (Cp) titanium chloride compounds, Cp 2 TiCl 2 ( 1 ), Cp* 2 TiCl 2 ( 2 ) [Cp* = C 5 Me 5 ], CpTiCl 3 ( 3 ), and Cp*TiCl 3 ( 4 ) have been acquired at magnetic field strengths of 21.1 and 9.4 T. From these spectra, it is possible to measure anisotropic 47/49 Ti NMR interaction parameters, which are extremely sensitive to differences in molecular structure. At a magnetic field of 21.1 T, the 47/49 Ti spectra can be acquired efficiently with standard echo pulse sequences. Quantum chemical calculations of 47/49 Ti electric field gradient (EFG) and chemical shielding (CS) tensor parameters are presented. The theoretical EFG and CS tensor orientations are utilized to relate the anisotropic NMR tensor parameters to the molecular and electronic structures of the complexes.

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 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 score0.002
Threshold uncertainty score0.559

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 science0.0010.000
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 head0.008
GPT teacher head0.276
Teacher spread0.269 · 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

Citations23
Published2010
Admission routes1
Has abstractyes

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