MétaCan
Menu
Back to cohort
Record W1643296487 · doi:10.1002/jlcr.3214

A hybrid solid‐fluorous phase radioiodination and purification platform

2014· article· en· W1643296487 on OpenAlexafffund
James P. K. Dzandzi, Denis Beckford-Vera, John F. Valliant

Bibliographic record

VenueJournal of Labelled Compounds and Radiopharmaceuticals · 2014
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCombinatorial chemistryPhase (matter)Biocompatible materialSolid-phase synthesisChromatographyOrganic chemistryPeptideBiomedical engineeringBiochemistry

Abstract

fetched live from OpenAlex

A new class of fluorous materials was developed to create a hybrid solid-solution phase strategy for the expedient preparation and HPLC-free purification of (125) I-labeled compounds. The system is referred to as a hybrid platform in that it combines solution phase labeling and fluorous solid-phase purification in one step as opposed to two separate individual processes. Treatment of fluorous arylstannanes coated on fluorous silica with [(125) I]NaI and the appropriate oxidant made it possible to produce and selectively isolate the nonfluorous radiolabeled products in high purity (>98%) free from excess starting material and unreacted radioiodine. Examples included simple aryl and heterocyclic (click) derivatives, known radiopharmaceuticals including meta-iodobenzylguanidine (MIBG) and iododeoxyuridine (IUdR), and a new agent with high affinity for prostate-specific membrane antigen. The coated fluorous silica kits are simple to prepare, and reactions can be performed at room temperature using different oxidants generating products in minutes in biocompatible solutions.

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)0.000
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 score0.366
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.365
Teacher spread0.330 · 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

Citations9
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Labelled Compounds and RadiopharmaceuticalsSame topicRadiopharmaceutical Chemistry and ApplicationsFrench-language works237,207