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Record W2001443466 · doi:10.1002/ijch.201100080

From [10]Paracyclophane to Ferrocenophanones: The Search for Molecular Machines and Bio‐Organometallic Anticancer Drugs

2011· article· en· W2001443466 on OpenAlexfundno aff
Michael J. McGlinchey, Sandra Milosevic

Bibliographic record

VenueIsrael Journal of Chemistry · 2011
Typearticle
Languageen
FieldChemistry
TopicFerrocene Chemistry and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaHigher Education Authority
KeywordsChemistryAlleneMoietyIsomerizationIntramolecular forceStereochemistryEribulinCyclophaneRutheniumGroup 2 organometallic chemistryMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A partial quenching of the NMR ring current in [10]paracyclophane‐chromium tricarbonyl prompted a study of other metal–arene π complexes, several of which exhibited restricted intramolecular motion relevant to their potential use in molecular machines. An attempted Diels–Alder reaction of 9‐phenylethynyl‐9 H ‐fluorene with tetracyclone instead yielded a novel tetracene by isomerization of the alkyne to the corresponding allene, and then via a series of allene dimers which are classifiable as cyclophanes. (Subsequently, the first organometallic molecular brake was prepared, whereby migration of a metal carbonyl tripod over an indenyl framework blocked the rotation of a triptycene paddlewheel.) Cyclophanes have now found applicability in the field of bio‐organometallic chemistry; the activity of tamoxifen, the first line treatment for hormone‐dependent breast cancers, is markedly enhanced when the structure is modified by incorporation of a ferrocenophane moiety. Finally, we relate the story of how the first cyclophane, [1.1.1]orthocyclophane, was actually prepared by Cannizzaro in 1854, but was only recognized as such more than 150 years later.

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 score0.005
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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