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Record W1986907084 · doi:10.1021/jo901475d

Fluorous Isocyanates: Convenient Synthons for the Preparation of Radioiodinated Compounds in High Effective Specific Activity

2009· article· en· W1986907084 on OpenAlexaff
Amanda C. Donovan, John F. Valliant

Bibliographic record

VenueThe Journal of Organic Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSynthonChemistryIsocyanateYield (engineering)SolventSolid phase extractionCombinatorial chemistryOrganic chemistrySolvent extractionSolid-phase synthesisExtraction (chemistry)ChromatographyPolyurethaneMaterials science

Abstract

fetched live from OpenAlex

A convenient method for the preparation of fluorous-tin isocyanate derivatives was developed from the corresponding acyl azides as a novel route to targeted radiopharmaceuticals that can be produced in high effective specific activity without having to resort to using HPLC. The isocyanates, which were stable for greater than 20 days when dissolved in fluorous solvents, were conjugated to a series of amines including lysine derivatives by using a variety of miscible and biphasic solvent systems where yields were consistently greater than 95%. The resulting ureas were radiolabeled with (125)I by using iodogen as the oxidant and the desired products were isolated in high radiochemical yield (>87%) and purity by using a simple fluorous solid phase extraction procedure.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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 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
Published2009
Admission routes1
Has abstractyes

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