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Record W4313466195 · doi:10.1080/00397911.2022.2158104

Greener and scalable mechanosynthesis of bis(3-indolyl)methane as an example of versatile pharmaceutical scaffold: Is the mechanochemical technique a metal-free process?

2022· article· en· W4313466195 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

VenueSynthetic Communications · 2022
Typearticle
Languageen
FieldChemistry
TopicSynthesis of Indole Derivatives
Canadian institutionsUniversity of Windsor
FundersUniversiti Malaya
KeywordsMechanosynthesisChemistryCatalysisBall millMethaneYield (engineering)PyridinePolymerChemical engineeringMechanochemistryOrganic chemistryMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The metal-free feature of mechanosynthesis of bis(3-indolyl)methane derivatives using poly(4-vinyl pyridine), a commercially available functional polymer, by ball mill technique at ambient conditions was studied. The condensation of various carbonyl compounds with two indoles smoothly proceeded, and pure products were easily isolated in high to excellent yields. Poly(4-vinylpyridine) exhibited high recyclability without any loss of catalytic activity or change in the chemical structure. The influence of polymer M̅W with a certain PDI on the mechanosynthesis of BIMs was investigated. In addition, the effect of the ball and jar with zirconium oxide material was studied on the rate and yield of the BIMs synthesis process. The method was scalable and generated minimal hazardous wastes. Some merits of the current methodology are such as the good to high yields for various carbonyl compounds and avoiding the use of toxic, expensive, and metal-containing catalysts with a tedious process of preparation, separation, and purification.

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), Insufficient payload (model declined to judge)
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.308
Teacher spread0.259 · 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