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Record W4409662515 · doi:10.1016/j.rechem.2025.102287

Strategic methods for the preparation of coumarin fused dihydroquinolines (CFDQ): A concise review

2025· review· en· W4409662515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResults in Chemistry · 2025
Typereview
Languageen
FieldChemistry
TopicMulticomponent Synthesis of Heterocycles
Canadian institutionsConcordia University
Fundersnot available
KeywordsCoumarinComputer scienceChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Coumarin-fused dihydroquinolines (CFDQs) are fascinating heterocycles that have become intriguing to medicinal chemists due to their outstanding bioactivity. Though there are different conventional methods used to synthesise CFDQs, they face challenges in terms of by-product formation, isolation difficulty, high costs, and environmental impact. In this review, we provide insight into green as well as conventional methods for the synthesis of CFDQs strategically and methodically. Furthermore, the formation of CFDQs depends on the inductive effect of diverse functional groups attached to the aromatic amines and aldehyde moiety. Predominantly, this review provides a concise overview of the synthesis of fused dihydroquinolines, highlighting the potential for future advancements in this field and addressing key considerations for aspiring scientists.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.115
GPT teacher head0.466
Teacher spread0.351 · 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