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Record W4281632050 · doi:10.1055/a-1868-4148

Use of Vinyl Sulfides in Fischer Indole Reactions

2022· article· en· W4281632050 on OpenAlexfundno aff
Parul Pal, Meghan Fragis, Jakob Magolan, Srinivas Dharavath, Jarrod W. Johnson

Bibliographic record

VenueSynthesis · 2022
Typearticle
Languageen
FieldChemistry
TopicPhosphorus compounds and reactions
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsChemistryIndole testKetoneAldehydeOrganic chemistryWittig reactionYield (engineering)Methyl vinyl ketoneEthanolCatalysis

Abstract

fetched live from OpenAlex

Abstract Vinyl sulfides accessed via Wittig olefination with thioalkylphosphonium salts are used as aldehyde- or ketone surrogates in Fischer indole reactions. These vinyl sulfides react with arylhydrazines in the presence of TsOH·H2O in refluxing ethanol or dichloroethane to yield diverse 3-substituted and 2,3-disubstituted indoles or azaindoles. The utility of this chemistry is highlighted with the efficient preparation of three biomedically relevant compounds: 4-aza-melatonin, a furoindoline, and an indomethacin-like CRTh2 antagonist.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0020.001

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 head0.036
GPT teacher head0.233
Teacher spread0.197 · 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
GenreEmpirical

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

Citations7
Published2022
Admission routes1
Has abstractyes

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