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Record W2061476134 · doi:10.1055/s-0034-1378563

The chiro-Inositols and Related Cyclitols as Chiral Monomers for Polymerization: Expansion of a Family of Chiral Polymers

2014· article· en· W2061476134 on OpenAlexaff
Tomáš Hudlický, John F. Trant, Hollich Ho

Bibliographic record

VenueSynlett · 2014
Typearticle
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsBrock University
Fundersnot available
KeywordsChemistryPolymerizationPolymer chemistryPolymerMonomerLewis acids and basesMetathesisGel permeation chromatographyEpoxideOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Three different synthetic approaches to three different classes of oligomeric and polymeric inositol and inositol-like derivatives are presented: Grubbs cross-metathesis polymerization, ­Lewis acid catalyzed epoxide opening, and head-to-tail Diels–Alder polymerization. All three approaches lead to the formation of oligomers and polymers. The oligomers/polymers formed range from three (low-molecular-weight fraction of Diels–Alder polymerization) to 60 (Lewis acid catalyzed polymerization) repeats of inositol or inositol-like units. The molecular weights of the polymers were characterized by gel-permeation chromatography (GPC), MALDI, and NMR end-group analysis.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.009
GPT teacher head0.262
Teacher spread0.252 · 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 teacher head, 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

Citations4
Published2014
Admission routes1
Has abstractyes

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