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Record W2608535480 · doi:10.1002/ange.201611329

Anwendungen der Wittig‐Still‐Umlagerung in der organischen Synthese

2017· article· de· W2608535480 on OpenAlexafffund
Tomáš Hudlický

Bibliographic record

VenueAngewandte Chemie · 2017
Typearticle
Languagede
FieldChemistry
TopicAdvanced Synthetic Organic Chemistry
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsChemistryWittig reactionMedicinal chemistry

Abstract

fetched live from OpenAlex

Abstract Dieser Aufsatz zeichnet die Entstehung der Wittig‐Still‐Umlagerung und deren Anwendung in der organischen Synthese nach. Ihre Beziehung zur Wittig‐Umlagerung wird diskutiert, einhergehend mit einer detaillierten Analyse der E/Z‐Selektivität und Diastereoselektivität. Modifikationen der in Wittig‐Still‐Umlagerungen gebildeten Produkte werden im Zusammenhang der gesteigerten Komplexität von Intermediaten mit potenziellem Nutzen für die zielorientierte Synthese erläutert. Frühe Anwendungen der Wittig‐Still‐Umlagerung zur Modifizierung von Steroiden werden ebenso besprochen wie Anwendungen in der Naturstoffsynthesen von Alkaloiden und Terpenen sowie der Synthese sonstiger Verbindungen. Nach unserem besten Wissen ist die Literatur bis Dezember 2016 abgedeckt.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.266
Teacher spread0.247 · 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

Citations3
Published2017
Admission routes2
Has abstractyes

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