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Record W4413444941 · doi:10.1016/j.dyepig.2025.113161

Orientation of nitration in bay-region of benzothioxanthene imide: A streamlined pathway to N- and S-annulated derivatives

2025· article· en· W4413444941 on OpenAlexafffund
Ahmad Kassem, Darío Puchán Sánchez, Karolina Saczuk, Arthur H. G. David, Magali Allain, Marco Deiana, Julien Boixel, Gregory C. Welch, Cyrille Monnereau, Pierre Josse, Clément Cabanetos

Bibliographic record

VenueDyes and Pigments · 2025
Typearticle
Languageen
FieldChemistry
TopicChemical Reaction Mechanisms
Canadian institutionsUniversity of Calgary
FundersH2020 Marie Skłodowska-Curie ActionsCentre National de la Recherche ScientifiqueNarodowe Centrum NaukiConseil National de la Recherche ScientifiqueAgence Nationale de la RechercheUniversity of Calgary
KeywordsNitrationImideOrientation (vector space)ChemistryBayStereochemistryOrganic chemistryGeologyGeometryMathematicsOceanography

Abstract

fetched live from OpenAlex

N -annulation has recently emerged as a powerful approach for modulating the optoelectronic properties of benzothioxanthene imide (BTI) derivatives, enabling their application in areas ranging from light-emitting devices to photodynamic therapy. In this study, we report an optimized synthetic strategy that reduces the original seven-step process for N -annulated BTIs to just four steps, achieving a ∼40% improvement in efficiency. Additionally, we introduce a novel S -annulated BTI derivative, extending the scope of heteroatom-involving ring fusion. Comparative analysis between N- and S-annulated compounds reveals the pronounced influence of a single-atom modification on the π-conjugated system. These findings demonstrate the utility of annulation as a chemically accessible and versatile tool for fine-tuning molecular architectures with tailored photophysical properties.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes2
Has abstractyes

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