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Record W1965387017 · doi:10.1039/c3ra43537g

MRI ParaCEST agents that improve amide based pH measurements by limiting inner sphere water T<sub>2</sub>exchange

2013· article· en· W1965387017 on OpenAlexafffund
Mark Milne, Melissa Lewis, Nevin McVicar, Mojmı́r Suchý, Robert Bartha, Robert H. E. Hudson

Bibliographic record

VenueRSC Advances · 2013
Typearticle
Languageen
FieldMaterials Science
TopicLanthanide and Transition Metal Complexes
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsLimitingAmideInner sphere electron transferChemistryNuclear magnetic resonanceIonPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

A series of Dy3+ and Tm3+ tetra-substituted DOTAM paraCEST agents incorporating para-substituted anilines has been synthesized and their paraCEST and relaxation properties evaluated. The response of selected agents (aniline and p-methoxyaniline) to changes in pH near the physiological range has also been studied. A crystal structure of Tm3+-p-OMe agent indicates a TSAP geometry with the absence of an inner sphere water molecule (denoted as TSAP'), which is thought to be due to the bulky nature of the amide nitrogen substituent. Two distinct amide signals are observed in the CEST spectrum for this compound, one for each of the isomers that exist in solution: SAP and TSAP with the larger chemical shift centred at −83 ppm compared to bulk water. Due to the non-optimal inner sphere water exchange, these agents produce minimal shortening of T1 and T2 relaxation time constants and therefore decrease relaxation induced signal losses during imaging.

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 categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.035
GPT teacher head0.246
Teacher spread0.211 · 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

Citations12
Published2013
Admission routes2
Has abstractyes

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