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Record W2145043995 · doi:10.1039/b708622a

Macrocycles, catenanes, oligomers and polymers in gold chemistry

2008· review· en· W2145043995 on OpenAlexafffund
Richard J. Puddephatt

Bibliographic record

VenueChemical Society Reviews · 2008
Typereview
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsCatenaneChemistryPolymerLigand (biochemistry)Coordination complexSelf-assemblyNanotechnologyLinear polymerCombinatorial chemistryPolymer scienceOrganic chemistryMaterials scienceMoleculeMetal

Abstract

fetched live from OpenAlex

A critical review is given of the chemistry of macrocycles, catenanes, oligomers and polymers in gold chemistry. Because gold centres are typically labile towards ligand substitution, there may be an easy equilibrium between the cyclic and linear oligomeric or polymeric forms and the preferred products of self-assembly are usually determined by thermodynamic control. The ways in which the self-assembly of complex structures from simple building blocks by dynamic coordination chemistry can be manipulated by ligand design or by the use of secondary bonding forces is emphasized (39 references).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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
GenreReview

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

Citations219
Published2008
Admission routes2
Has abstractyes

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