MétaCan
Menu
Back to cohort
Record W4393307785 · doi:10.1021/acs.oprd.3c00479

Development of a Safe and Scalable Method to Prepare 3-Bromo-<i>N</i>-alkyl-1,6-naphthyridones via Enamine Cyclization

2024· article· en· W4393307785 on OpenAlexaff
Thomas H. Carr, Sam Beddoe, Stephen Johns, Jonathan F. Hull, T.J. Stowe, Jonathan P. Moore, James Brown, Adrian Maddaford, Étienne Rochette, Michel Bernatchez, Martin Jean, Jean Francois Parent, Connor Barrett, Jeffrey B. Sperry, Daniel D. Richter

Bibliographic record

VenueOrganic Process Research & Development · 2024
Typearticle
Languageen
FieldChemistry
TopicChemical Reaction Mechanisms
Canadian institutionsOmegaChem (Canada)
Fundersnot available
KeywordsEnamineAlkylChemistryScalabilityCombinatorial chemistryOrganic chemistryComputational chemistryComputer scienceCatalysisOperating system

Abstract

fetched live from OpenAlex

A safe and efficient method to make N -alkyl-1,6-naphthyridones from primary amines is described. Due to issues with existing methodology involving strong exotherms and harsh reagents (triazine/alkyl halides), to prepare N -alkyl-1,6-naphthyridones, a method was developed that avoids these hazardous reagents and conditions. The developed route involved the preparation of a key enamine intermediate as a stable and isolatable solid, which could then undergo cyclization with primary amines to afford a variety of N -alkyl-1,6-naphthyridones that are of high interest in the preparation of pharmaceutically relevant molecules.

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 score0.002
Threshold uncertainty score0.005

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.369
Teacher spread0.338 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueOrganic Process Research & DevelopmentSame topicChemical Reaction MechanismsFrench-language works237,207