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Record W4409760420 · doi:10.26434/chemrxiv-2025-pt3g4

Frame-shifted synthesis of oligoheterocycles as a platform for sustainable molecular design

2025· preprint· en· W4409760420 on OpenAlexaff
Kane A. C. Bastick, Caleb E. Griesbach, Ben Zhen Huang, Yang Ou, Morgan Cordell, Alán Aspuru‐Guzik, Andrei K. Yudin

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsUniversity of Toronto
FundersAmerican Chemical Society Petroleum Research Fund
KeywordsFrame (networking)Computer scienceBusinessTelecommunications

Abstract

fetched live from OpenAlex

Chemists need to develop reliable strategies that leverage abundant feedstocks to speed up the production of vital medicines, agrochemicals, and materials. Oligoheterocyclic compounds are one class of molecules that span each of these disciplines. Cross-coupling strategies are commonly used to assemble oligoheterocycles; however, these transformations can be challenging and often rely on costly precious metal catalysts and building blocks derived from unsustainable feedstocks and supply chains. Here, we present a synthetic strategy for iterative construction of oligoheterocycles that leverages sustainable building blocks designed around carbon atoms of high oxidation states. By utilizing feedstocks from the base of the chemical supply chain, we generate bifunctional building blocks that chemoselectively engage with a variety of reaction partners through simple condensation manifolds. Adopting this approach has led to novel scaffolds previously inaccessible by conventional means, which exemplifies sustainable design strategies and enables democratization of chemical synthesis.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.010
GPT teacher head0.222
Teacher spread0.213 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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