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Record W2557755011 · doi:10.1107/s2053273314094601

Hydrogen bonding patterns in hydroxyamidine/α-aminonitrone (AMOX) type compounds

2014· article· en· W2557755011 on OpenAlexaff
Mihaela Cibian, S. Derossi, Denis M. Spasyuk, Janaina G. Ferreira, Garry S. Hanan

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2014
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsUniversité de MontréalMontfort Hospital
Fundersnot available
KeywordsSteric effectsHydrogen bondSupramolecular chemistryDelocalized electronCrystal engineeringCrystallographyElectronic effectChemistryHydrogenChelationMaterials scienceCrystal structureMoleculeStereochemistryInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

N,N'-Disubstituted hydroxyamidines/ α-aminonitrones (AMOXs) present high steric and electronic modularity (substituents can be varied on the central C atom and/or on the N atoms) resulting in precise electronic tunability, enhanced by the delocalization on the amidine backbone. They are good chelating ligands, forming stable 5-membered chelate rings with metal ions, and they also present hydrogen bonding capacity. [1] In our research, we exploit these properties by investigating their incorporation into supramolecular assemblies based on coordination chemistry and/ or hydrogen bonding. Herein, we present the synthesis and the structural characterization of different mono- and bis-AMOX type compounds. [2] The analysis of the hydrogen bonding patterns found in each case is highlighted (Figure 1), in an effort to identify factors (e.g. substituent effects: sterics and/ or electronics, other type of supramolecular interactions) that are generating specific hydrogen-bonding patterns. Understanding and rationalizing such a cause – effect relationship is of paramount importance in order to efficiently use hydrogen bonding as a crystal engineering design tool. Figure 1. Type of hydrogen bonding pattern in AMOX type compounds. [3]

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.251
Teacher spread0.242 · 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 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
Published2014
Admission routes1
Has abstractyes

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