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Record W3205533154 · doi:10.1002/anie.202111895

Total Synthesis of Dolabriferol C by a Highly Stereoselective One‐Pot Coupling of a <i>meso‐</i>3,7‐Diketone with Two Chiral Aldehydes

2021· article· en· W3205533154 on OpenAlexafffund
Naveen Diddi, Dale E. Ward

Bibliographic record

VenueAngewandte Chemie International Edition · 2021
Typearticle
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAldol reactionAldehydeStereocenterKinetic resolutionEnantioselective synthesisChemistryDesymmetrizationStereoselectivityTotal synthesisStereochemistryCoupling reactionAdductOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Total synthesis of the noncontiguous polypropionate dolabriferol C was achieved by retro-Claisen fragmentation of its putative contiguous precursor under mild conditions, thus establishing the former as a plausible isolation artifact. The precursor was prepared by a novel one-pot three-component bisaldol coupling of a meso (Z,Z)-bisenolate (generated in situ from a 3,7-diketone) with two enantioenriched aldehydes to set the absolute configuration of seven stereocenters in one step. The first aldol reaction proceeded with enantioselective desymmetrization of the bisenolate to produce an enantiomerically pure enolate-aldolate. Quenching at this stage enabled a streamlined synthesis of dolabriferol. Addition of a racemic aldehyde to the enolate-aldolate resulted in aldol coupling with kinetic resolution of the "matched" aldehyde; overall, a sequential enantiotopic-group-selective (SEGS) bisaldol reaction. Because the desired adduct results from the "mismatched" aldol reaction, use of enantioenriched aldehyde was required.

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)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.256
Teacher spread0.245 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

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