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Revisiting the Concept of Equivalence in Solid-State NMR

2015· reference-entry· en· W1529004174 on OpenAlexafffund
Frédéric A. Perras, David L. Bryce

Bibliographic record

VenueeMagRes · 2015
Typereference-entry
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaAmerican Chemical Society Petroleum Research Fund
KeywordsEquivalence (formal languages)Tensor (intrinsic definition)Solid-state nuclear magnetic resonanceChemistryContext (archaeology)SpinningPhysicsNuclear magnetic resonanceTheoretical physicsMathematicsPure mathematics

Abstract

fetched live from OpenAlex

The concepts of chemical and magnetic equivalence have profound impacts on the understanding and interpretation of NMR phenomena. In solution, magnetic equivalence between spin-1/2 nuclei is generally associated with the lack of an observable spectral J-splitting. We examine here the concept of equivalence between quadrupolar nuclei with an emphasis on solid powdered samples. In this context, magnetic equivalence means that the coupled nuclei have identical NMR interaction tensor magnitudes and orientations. Contrary to the spin-1/2 case, J-couplings between magnetically equivalent quadrupolar nuclei are manifested as spectral splittings in solids and in aligned media. Following an overview of the relevant theory, examples employing double-rotation NMR, MQMAS NMR, ultrahigh-field NMR, and two-dimensional J-resolved experiments under both spinning and stationary conditions are discussed. The dependence of the observed splittings on the type of equivalence shared by the coupled nuclei (none, chemical, or magnetic) provides a unique experimental handle on crystallographic symmetry, which is of value for structure elucidation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.022
Scholarly communication0.0040.016
Open science0.0030.005
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.042
GPT teacher head0.348
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations7
Published2015
Admission routes2
Has abstractyes

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