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Record W2911493273 · doi:10.1002/slct.201803561

Rapid and Efficient Synthesis of <sup>11</sup> C‐Labeled Benzimidazolones Using [ <sup>11</sup> C]Carbon Dioxide

2019· article· en· W2911493273 on OpenAlexaff
Kaisa Horkka, Kenneth Dahl, Jonas Bergare, Charles S. Elmore, Christer Halldin, Magnus Schou

Bibliographic record

VenueChemistrySelect · 2019
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsUniversity of Toronto
FundersKarolinska InstitutetEuropean CommissionAstraZeneca
KeywordsSynthonChemistryCarbon dioxideReagentLigand (biochemistry)RadiochemistryCarbon-14Nuclear chemistryStereochemistryOrganic chemistryPhysicsReceptor

Abstract

fetched live from OpenAlex

Abstract [ 11 C]Carbon dioxide is an attractive synthon for the labeling of positron emission tomography (PET) tracers for subsequent use in biomedical research and drug development. In this study, [ 11 C]CO 2 was used for direct 11 C‐labeling of a set of cyclic aromatic ureas starting from their corresponding ortho ‐phenylenediamines, BEMP (2‐ tert ‐butylimino‐2‐diethylamino‐1,3‐dimethylperhydro‐1,3,2‐diazaphosphorine) as fixation base, and Mitsunobu reagents (DBAD, n Bu 3 P) for the intramolecular cyclization. The procedure is rapid (6 minutes total synthesis time), mild (proceeds at room temperature) and provided a set of 11 C‐benzimidazolones in good to excellent radiochemical yields. As a final testament to the utility of this method, the beta‐adrenoceptor PET ligand [ 11 C]CGP12177, was successfully prepared using the optimized conditions.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.340
Teacher spread0.295 · 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
GenreMethods

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

Citations18
Published2019
Admission routes1
Has abstractyes

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