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Multicomponent Reaction in Ionic Liquid for Ecocompatible Heterocyclic Synthesis

2025· book-chapter· en· W4409304756 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

VenueBENTHAM SCIENCE PUBLISHERS eBooks · 2025
Typebook-chapter
Languageen
FieldChemistry
TopicMulticomponent Synthesis of Heterocycles
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIonic liquidChemistryCombinatorial chemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Multicomponent reactions (MCRs) provide a unique way to incorporate the structural attributes of three or more reactants in a single operation. Along with their operational simplicity and synthetic convergence, MCRs are generally atom, step, and time economical than comparable multistep processes. On the other hand, ionic liquids (ILs) are salts with low melting points. Because of their low vapor pressure, recyclability, and tunability, ILs offer a task-specific alternative to commonly employed organic solvents. Thus, merging both strategies (MCRs & ILs) together opens the way to a plethora of possibilities for greener productions of heterocyclic compounds. In the proposed chapter, attempts will be made to cover the MCRs relevant to heterocyclic synthesis conducted in ionic liquids (ILs) with a special emphasis on process sustainability.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
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 head0.028
GPT teacher head0.264
Teacher spread0.236 · 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