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Record W2318850674 · doi:10.1021/ja2052446

High-Resolution <sup>39</sup>K NMR Spectroscopy of Bio-organic Solids

2011· article· en· W2318850674 on OpenAlexaff
Gang Wu, Zhehong Gan, Irene C. M. Kwan, James C. Fettinger, Jeffery T. Davis

Bibliographic record

VenueJournal of the American Chemical Society · 2011
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsChemistrySpectroscopyResolution (logic)Magic angle spinningNuclear magnetic resonance spectroscopyCarbon-13 NMR satelliteAnalytical Chemistry (journal)Magic angleNuclear magnetic resonance crystallographyQuadrupoleHigh resolutionNMR spectra databaseSpectral lineIonRelaxation (psychology)Nuclear magnetic resonanceFluorine-19 NMRAtomic physicsStereochemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

We report the first implementation of the multiple-quantum magic-angle-spinning method to obtain high-resolution (39)K NMR spectra for bio-organic solids. The observed spectral resolution in the isotropic dimension is nearly at the sub-ppm level, which approaches the intrinsic resolution limit determined primarily by quadrupole relaxation. We show that high-resolution solid-state (39)K NMR spectroscopy can be used as a new means of probing K(+) ions in biomolecular systems.

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 score0.037
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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

Citations21
Published2011
Admission routes1
Has abstractyes

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