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Record W2287667200 · doi:10.1002/ijch.201500081

Contributions of Ernest Wenkert to the Use of Cyclopropanes in Synthesis – Impact, Reflections, and Recollections

2016· article· en· W2287667200 on OpenAlexaff
Tomáš Hudlický

Bibliographic record

VenueIsrael Journal of Chemistry · 2016
Typearticle
Languageen
FieldChemistry
TopicCyclopropane Reaction Mechanisms
Canadian institutionsBrock University
Fundersnot available
KeywordsChemistryMentorshipCyclopropaneEngineering ethicsOrganic chemistryMedical educationRing (chemistry)Engineering

Abstract

fetched live from OpenAlex

Abstract This essay describes Ernest Wenkert's contributions to the chemistry of cyclopropanes and their use in synthesis. The impact of his work on the careers of others, especially including the development of cyclopropane‐based research in the Hudlicky group, is addressed, along with reflections on his mentorship. Personal recollections from some of his past students are provided at the end of the article.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.006
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.011
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 head0.029
GPT teacher head0.295
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2016
Admission routes1
Has abstractyes

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