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Record W2989330786 · doi:10.1021/acs.cgd.9b01184

Crystal Packing of a Series of 1,2,3,4-Substituted Phenoxazine and Dibenzodioxin Heterocycles

2019· article· en· W2989330786 on OpenAlexafffund
Lana K. Hiscock, Kenneth E. Maly, Louise N. Dawe

Bibliographic record

VenueCrystal Growth & Design · 2019
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsWilfrid Laurier University
FundersCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaWilfrid Laurier University
KeywordsStackingIntermolecular forceSupramolecular chemistryChemistryPhenoxazineCrystallographyCrystal structureRing (chemistry)AromaticityStereochemistryMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

Understanding and control of weak intermolecular interactions, including π-interactions, is an element toward the strategic design of supramolecular materials. In this work, we describe an approach to promoting cofacial π-stacking in the solid state by preparing polycyclic aromatic compounds that bear complementary electron-rich and electron-poor rings. Specifically, we describe the synthesis and single crystal structures of a series of six dissymmetric systems (three dibenzo-p-dioxins and three phenoxazines) comprised of one electron-rich and one electron-deficient ring. In all cases, anti-co-facial π–π interactions were observed, but no significant C–H···π interactions. These observations were compared with similar structures in the Cambridge Structural Database, and it was found that the presence of bulky substituents, lattice solvent, and stronger intermolecular interactions interfere with efficient π-stacking. Both qualitative and quantitative evaluations of the newly reported structures, and database examples, are included.

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 categoriesnone
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 score0.001
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.217
Teacher spread0.200 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2019
Admission routes2
Has abstractyes

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