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Record W4239936824 · doi:10.1139/cjc-78-3-347

42-crown-14-based [2]catenane

2000· article· en· W4239936824 on OpenAlexvenueno aff
Harry W. Gibson, Sang‐Hun Lee

Bibliographic record

VenueCanadian Journal of Chemistry · 2000
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryCatenaneCrown etherMass spectrumYield (engineering)WaxEtherMelting pointInfrared spectroscopyMass spectrometryPolymer chemistryOrganic chemistryMoleculeChromatographyIon

Abstract

fetched live from OpenAlex

A compound isolated from a synthesis directed toward 42-crown-14 (42C14) has been purified and characterized by means of IR, HPLC, NMR, MS, and DSC techniques. Its infrared spectrum contains no OH, tosylate, or unsaturated unit signals. The HPLC retention time of the compound differs from that of "42C14" and other crown ethers examined. The chemical shifts of the singlets in the 1H and 13C NMR spectra differ from those of poly(ethylene oxide)s (PEOs), and crown ethers. The FAB mass spectra contain signals attributable to a compound with twice the mass of 42C14 and the fragmentation pattern is consistent with [2]catenane 9 based on interlocked 42C14 units, because the next major signals generally correspond to 42C14 and its adducts. The DSC results showed that the compound, a colorless wax at room temperature, was amorphous with a glass transition temperature which was 80° higher than those of aliphatic crown ethers, which are crystalline compounds with melting points >40°C. Considering the high yield of the compound (8% in the reaction mixture as determined by NMR, 1.7% isolated), it is believed that sodium cation-crown ether-linear ether complexation was involved in templating its formation. Evidence for such complexation was also observed in the FAB MS.Key words: catenanes, crown compounds, macrocycles, template synthesis, rotaxanes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.239
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0400.000

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 head0.005
GPT teacher head0.177
Teacher spread0.172 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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