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Record W6921759893 · doi:10.1021/acs.cgd.5b01342.s001

Anion and Cation Effects on Anion-Templated Assembly\nof Tetrahydroxytriptycene

2016· article· en· W6921759893 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAcetonitrileLigand (biochemistry)CrystallizationBromideTetraethylammoniumIonHydrogen bond

Abstract

fetched live from OpenAlex

A tetrahydroxytriptycene ligand <b>1</b> assembles through\nO–H···anion hydrogen bonds into a range of different\nstructures. With tetrabutylammonium bromide, <b>1</b> forms\na stable nanotube structure that is supported by O–H···anion\nhydrogen bonds, but its space is occupied by the large cation. In\nan effort to produce the nanotubes with different cations and anions, <b>1</b> was crystallized with different salts. The reaction of <b>1</b> with tetraethylammonium bromide gives a 2D net structure,\nwhile <b>1</b> and tetrapropylammonium bromide give a discrete\n1:2 complex. Attempting to co-crystallize <b>1</b> and tetramethylammonium\nbromide gave crystals of an oxidized quinone form of the ligand. When <b>1</b> was crystallized with tetrabutylammonium terephthalate,\ntwo different one-dimensional anion coordination polymers were obtained,\ndepending on the crystallization solvent: acetonitrile gave a zigzag\npolymer, while methanol gave a linear structure. In both cases, the\ntetrabutylammonium cations fill the gaps between the 1D polymers,\ngiving a layered 2D morphology. The wide range of architectures prepared\nfrom a relatively simple ligand illustrates the potential utility\nof O–H···anion interactions for constructing\nsolid-state materials.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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