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Record W2023594015 · doi:10.1002/cbic.201300230

A Computational Study of the Effects of <sup>13</sup>C–<sup>13</sup>C Scalar Couplings on <sup>13</sup>C CEST NMR Spectra: Towards Studies on a Uniformly <sup>13</sup>C‐Labeled Protein

2013· article· en· W2023594015 on OpenAlexafffund
Pramodh Vallurupalli, Guillaume Bouvignies

Bibliographic record

VenueChemBioChem · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsHospital for Sick ChildrenCanada Research ChairsUniversity of TorontoUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSpectral linePhysicsCarbon-13NMR spectra databaseSpin (aerodynamics)Nuclear physicsNuclear magnetic resonanceAtomic physicsChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

Read the label: The NMR CEST experiment can be used to reconstruct spectra of sparsely populated, transiently formed protein conformers so long as they exchange with a highly populated ground state with rates of 20-300 s(-1) . Here we establish that accurate (13) C chemical shifts of side-chain carbon nuclei can be obtained from uniformly (13) C-labeled samples, without interference from the coupled (13) C spin network.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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

Citations28
Published2013
Admission routes2
Has abstractyes

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